stewart (person)

literal strings: STEWART, stewart, Stewart

Help NELL Learn!

NELL wants to know if these beliefs are correct.
If they are or ever were, click thumbs-up. Otherwise, click thumbs-down.

• stewart has spouse katherine_la_nasa (person)     
• stewart has spouse katherine_la_nasa (person)     
• stewart has been charged with murder (crimeorcharge)     
• stewart is a person who graduated from the university college (university)     

categories

NELL has only weak evidence for items listed in grey

• person
• MBL @1116 (93.8%) on 12-sep-2018 [ Promotion of female:katherine_la_nasa hasspouse actor:stewart ] using concept:female:katherine_la_nasa
• MBL @1116 (93.8%) on 12-sep-2018 [ Promotion of actor:stewart hasspouse female:katherine_la_nasa ] using concept:actor:stewart
• actor
• SEAL @15 (50.0%) on 15-jan-2010 [ 1 ] using stewart
• comedian
• SEAL @337 (50.0%) on 07-jul-2011 [ 1 ] using stewart

relations

• hasspouse
• katherine_la_nasa (93.8%)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 married actress arg2" "arg1 has been married to actress arg2" ] using (katherine_la_nasa, stewart)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 married actress arg2" "arg1 has been married to actress arg2" ] using (stewart, katherine_la_nasa)
• katherine_la_nasa (93.8%)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 married actress arg2" "arg1 has been married to actress arg2" ] using (katherine_la_nasa, stewart)
• CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 married actress arg2" "arg1 has been married to actress arg2" ] using (stewart, katherine_la_nasa)
• personchargedwithcrime
• murder (crimeorcharge) (93.8%)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 was convicted of second degree arg2" "arg1 was charged with capital arg2" "arg1 was executed for arg2" "arg1 was convicted of arg2" ] using (stewart, murder)
• persongraduatedfromuniversity
• college (university) (99.8%)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)

NELL has only weak evidence for items listed in grey

• acquiredby
• ford
• CPL @1114 (75.0%) on 18-aug-2018 [ "arg1 bought arg2" "arg1 Corporation bought arg2" ] using (ford, stewart)
• cityalsoknownas
• columbia (city)
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 Island in British arg1" "arg2 is in British arg1" "arg2 and British arg1" ] using (columbia, stewart)
• CPL @1104 (87.5%) on 18-mar-2018 [ "arg2 Island in British arg1" "arg2 is in British arg1" "arg2 and British arg1" ] using (stewart, columbia)
• companyalsoknownas
• home_depot_inc
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 crew as arg2" ] using (home_depot, stewart)
• CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 crew as arg2" ] using (stewart, home_depot)
• geopoliticallocationcontainscity
• baltimore
• CPL @1107 (50.0%) on 24-may-2018 [ "arg2 Greenebaum Cancer Center in arg1" ] using (baltimore, stewart)
• hassibling
• lt__joseph_r__hunt
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and his brother arg2" ] using (joseph, stewart)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and his brother arg2" ] using (stewart, joseph)
• morris
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 and his brother arg2" ] using (morris, stewart)
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 and his brother arg2" ] using (stewart, morris)
• phil
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 and his brother arg2" ] using (phil, stewart)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 and his brother arg2" ] using (stewart, phil)
• george
• CPL @1094 (50.0%) on 01-jan-2018 [ "arg1 and his brother arg2" ] using (george, stewart)
• CPL @1094 (50.0%) on 01-jan-2018 [ "arg1 and his brother arg2" ] using (stewart, george)
• hasspouse
• sarah (female)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (sarah, stewart)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (stewart, sarah)
• robert_pattinson (male)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (robert_pattinson, stewart)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (stewart, robert_pattinson)
• inverseofriveremptiesintoriver
• columbia (river)
• CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 in northern British arg1" "arg2 region in British arg1" ] using (columbia, stewart)
• personhiredbyorganization
• oklahoma_state
• CPL @1114 (75.0%) on 18-aug-2018 [ "arg2 was the defensive coordinator for arg1" "arg2 was fired by arg1" ] using (cowboys, stewart)
• teamingame
• championship
• CPL @1100 (75.0%) on 31-jan-2018 [ "arg2 won the World arg1" "arg2 lost the World arg1" ] using (championship, stewart)
• winneringame
• championship
• CPL @1099 (75.0%) on 23-jan-2018 [ "arg2 won the World arg1" "arg2 lost the World arg1" ] using (championship, stewart)
• hasspouse
• sarah (female)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (sarah, stewart)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (stewart, sarah)
• robert_pattinson (male)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (robert_pattinson, stewart)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (stewart, robert_pattinson)
• robert_pattinson (personcanada)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (robert_pattinson, stewart)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (stewart, robert_pattinson)
• robert_pattinson (personus)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (robert_pattinson, stewart)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 as Bella and arg2" "arg1 as Bella Swan and arg2" ] using (stewart, robert_pattinson)
• personchargedwithcrime
• conspiracy (crimeorcharge)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 was convicted of arg2" "arg1 was found guilty of arg2" ] using (stewart, conspiracy)
• conspiracy_charges
• CPL @1094 (50.0%) on 01-jan-2018 [ "arg1 was convicted of arg2" ] using (stewart, conspiracy_charges)
• first_degree_murder
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was found guilty of arg2" ] using (stewart, first_degree_murder)
• five_counts
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 was convicted of arg2" "arg1 was found guilty of arg2" ] using (stewart, five_counts)
• fraud (crimeorcharge)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 was convicted of arg2" ] using (stewart, fraud)
• insider_trading
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 was found guilty of arg2" "arg1 was convicted of arg2" ] using (stewart, insider_trading)
• persongraduatedfromuniversity
• georgia_tech (university)
• CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 graduated from arg2" "arg1 is a DDDD graduate of arg2" ] using (stewart, georgia_tech)
• law_school (university)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 is a graduate of Harvard arg2" ] using (stewart, law_school)
• purdue_university (university)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 graduated from arg2" ] using (stewart, purdue_university)
• yale_university (university)
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, yale_university)
• agentcollaborateswithagent
• law (governmentorganization)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 student Andrew arg2" ] using (law, stewart)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 student Andrew arg2" ] using (stewart, law)
• law (person)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 student Andrew arg2" ] using (law, stewart)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 student Andrew arg2" ] using (stewart, law)
• brotherof
• joseph
• CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 and his brother arg2" ] using (joseph, stewart)
• coachesathlete
• dale_earnhardt_jr
• SEAL @683 (100.0%) on 13-jan-2013 [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 ] using (dale_earnhardt_jr, stewart)
• CPL @1094 (50.0%) on 01-jan-2018 [ "arg1 and Tony arg2" ] using (dale_earnhardt_jr, stewart)
• controlledbyagent
• assistant
• CPL @1103 (93.8%) on 06-mar-2018 [ "arg1 coach Doug arg2" "arg1 coach Ron arg2" "arg1 head coach Bill arg2" "arg1 coach Jake arg2" ] using (assistant, stewart)
• hassibling
• joseph
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and his brother arg2" ] using (joseph, stewart)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and his brother arg2" ] using (stewart, joseph)
• joseph001
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and his brother arg2" ] using (joseph, stewart)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and his brother arg2" ] using (stewart, joseph)
• hasspouse
• sarah (building)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (sarah, stewart)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (stewart, sarah)
• sarah (criminal)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (sarah, stewart)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (stewart, sarah)
• forts
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg2 Gordon and arg1" ] using (forts, stewart)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg2 Gordon and arg1" ] using (stewart, forts)
• sarah (mldataset)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (sarah, stewart)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (stewart, sarah)
• andy_stewart
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 filed for divorce from arg2" ] using (stewart, andy_stewart)
• CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 filed for divorce from arg2" ] using (andy_stewart, stewart)
• sarah (politician)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (sarah, stewart)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (stewart, sarah)
• sarah (religion)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (sarah, stewart)
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 is Married to arg2" ] using (stewart, sarah)
• jobpositionheldbyperson
• elizabeth
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 I and Mary arg2" ] using (elizabeth, stewart)
• personchargedwithcrime
• corps (academicfield)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was found guilty of arg2" ] using (stewart, corps)
• trading (academicfield)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was convicted in DDDD of arg2" ] using (stewart, trading)
• charge (bathroomitem)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 went on trial for arg2" ] using (stewart, charge)
• trading (buildingmaterial)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was convicted in DDDD of arg2" ] using (stewart, trading)
• charge (charactertrait)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 went on trial for arg2" ] using (stewart, charge)
• fraud (charactertrait)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 was convicted of arg2" ] using (stewart, fraud)
• corps (city)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was found guilty of arg2" ] using (stewart, corps)
• tucker (city)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 defends himself against arg2" ] using (stewart, tucker)
• tucker (company)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 defends himself against arg2" ] using (stewart, tucker)
• fraud (criminal)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 was convicted of arg2" ] using (stewart, fraud)
• murder (criminal)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 was convicted of second degree arg2" "arg1 was charged with capital arg2" "arg1 was executed for arg2" "arg1 was convicted of arg2" ] using (stewart, murder)
• corps (eventoutcome)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was found guilty of arg2" ] using (stewart, corps)
• trading (hobby)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was convicted in DDDD of arg2" ] using (stewart, trading)
• corps (monument)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was found guilty of arg2" ] using (stewart, corps)
• conspiracy (movie)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 was convicted of arg2" "arg1 was found guilty of arg2" ] using (stewart, conspiracy)
• conspiracy (musicalbum)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 was convicted of arg2" "arg1 was found guilty of arg2" ] using (stewart, conspiracy)
• tucker (person)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 defends himself against arg2" ] using (stewart, tucker)
• murder (planet)
• CPL @1094 (93.8%) on 01-jan-2018 [ "arg1 was convicted of second degree arg2" "arg1 was charged with capital arg2" "arg1 was executed for arg2" "arg1 was convicted of arg2" ] using (stewart, murder)
• conspiracy (politician)
• CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 was convicted of arg2" "arg1 was found guilty of arg2" ] using (stewart, conspiracy)
• trading (retailstore)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 was convicted in DDDD of arg2" ] using (stewart, trading)
• fraud (sociopolitical)
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 was convicted of arg2" ] using (stewart, fraud)
• terrorism
• CPL @1097 (50.0%) on 19-jan-2018 [ "arg2 charges against arg1" ] using (stewart, terrorism)
• tucker (televisionshow)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 defends himself against arg2" ] using (stewart, tucker)
• charge (visualizableobject)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 went on trial for arg2" ] using (stewart, charge)
• charge (weapon)
• CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 went on trial for arg2" ] using (stewart, charge)
• persongraduatedfromuniversity
• college (city)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• law_school (city)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 is a graduate of Harvard arg2" ] using (stewart, law_school)
• barnard
• CPL @1107 (50.0%) on 24-may-2018 [ "arg1 graduated from arg2" ] using (stewart, barnard)
• yale_university (county)
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, yale_university)
• law_school (criminal)
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 is a graduate of Harvard arg2" ] using (stewart, law_school)
• college (emotion)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• college (grain)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• college (male)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• college (medicalprocedure)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• college (mldataset)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• yale_university (museum)
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, yale_university)
• college (physicalcharacteristic)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• yale_university (scientist)
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, yale_university)
• college (sportsleague)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• college (sportsteam)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• georgia_tech (sportsteam)
• CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 graduated from arg2" "arg1 is a DDDD graduate of arg2" ] using (stewart, georgia_tech)
• purdue_university (sportsteam)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 graduated from arg2" ] using (stewart, purdue_university)
• yale_university (sportsteam)
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, yale_university)
• college (stateorprovince)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• college (trainstation)
• CPL @1094 (99.8%) on 01-jan-2018 [ "arg1 graduated from Lafayette arg2" "arg1 attended Amherst arg2" "arg1 graduated from Smith arg2" "arg1 attended Upper Canada arg2" "arg1 majored in psychology at arg2" "arg1 attended Springfield arg2" "arg1 studied at the Ontario arg2" "arg1 is a graduate of arg2" "arg1 graduated from arg2" ] using (stewart, college)
• georgia_tech (trainstation)
• CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 graduated from arg2" "arg1 is a DDDD graduate of arg2" ] using (stewart, georgia_tech)
• purdue_university (trainstation)
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 graduated from arg2" ] using (stewart, purdue_university)
• personhasparent
• mother
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and brother arg2" ] using (mother, stewart)
• mother001
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 and brother arg2" ] using (mother, stewart)
• personhiredbyorganization
• wvu
• OE @821 (96.5%) on 09-mar-2014 [   ] using (wvu, stewart)