n30_people (magazine)

literal strings: 30 people, 30 People

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• n30_people participated in the event result (eventoutcome)     

categories

NELL has only weak evidence for items listed in grey

• magazine
• CPL @1104 (84.9%) on 18-mar-2018 [ "_ found this helpful" "_ Interested in" "_ Have Commented" ] using n30_people

relations

• agentparticipatedinevent
• result (eventoutcome) (100.0%)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)

NELL has only weak evidence for items listed in grey

• agentparticipatedinevent
• charges (militaryeventtype)
• CPL @896 (87.5%) on 22-jan-2015 [ "arg1 were arrested on various arg2" "arg1 were arrested on drug arg2" "arg1 were arrested on various drug arg2" ] using (n30_people, charges)
• agentcompeteswithagent
• day
• CPL @970 (50.0%) on 10-jan-2016 [ "arg1 show up for arg2" ] using (n30_people, day)
• CPL @970 (50.0%) on 10-jan-2016 [ "arg1 show up for arg2" ] using (day, n30_people)
• agentparticipatedinevent
• plane (amphibian)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• result (artery)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)
• result (disease)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)
• plane (geometricshape)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• plane (geopoliticallocation)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• result (mlmetric)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)
• plane (muscle)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• plane (olympics)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• result (perceptionevent)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)
• charges (physicalaction)
• CPL @896 (87.5%) on 22-jan-2015 [ "arg1 were arrested on various arg2" "arg1 were arrested on drug arg2" "arg1 were arrested on various drug arg2" ] using (n30_people, charges)
• result (physicalaction)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)
• result (planet)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)
• plane (plant)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• result (programminglanguage)
• CPL @664 (100.0%) on 30-nov-2012 [ "arg1 may have died as arg2" "arg1 who died as arg2" "arg1 have been injured as arg2" "arg1 died as a direct arg2" "arg1 lost their jobs as arg2" "arg1 have died as arg2" "arg1 had died as arg2" "arg1 die as arg2" "arg1 are injured as arg2" "arg1 will be laid off as arg2" "arg1 died as arg2" "arg1 die every year as arg2" ] using (n30_people, result)
• charges (sportsgame)
• CPL @896 (87.5%) on 22-jan-2015 [ "arg1 were arrested on various arg2" "arg1 were arrested on drug arg2" "arg1 were arrested on various drug arg2" ] using (n30_people, charges)
• plane (tableitem)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• charges (tradeunion)
• CPL @896 (87.5%) on 22-jan-2015 [ "arg1 were arrested on various arg2" "arg1 were arrested on drug arg2" "arg1 were arrested on various drug arg2" ] using (n30_people, charges)
• plane (vehicle)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• plane (visualizablething)
• CPL @770 (50.0%) on 14-sep-2013 [ "arg1 died as arg2" ] using (n30_people, plane)
• charges (weapon)
• CPL @896 (87.5%) on 22-jan-2015 [ "arg1 were arrested on various arg2" "arg1 were arrested on drug arg2" "arg1 were arrested on various drug arg2" ] using (n30_people, charges)