Classifier Instance:

Anchor text: Stephen Hawking
Target Entity: Stephen_Hawking
Preceding Context: For a long time, it was suspected that the strange features of the black hole solutions were pathological artifacts from the symmetry conditions imposed, and that the singularities would not appear in generic situations. This view was held in particular by Vladimir Belinsky, Isaak Khalatnikov, and Evgeny Lifshitz, who tried to prove that no singularities appear in generic solutions. However, in the late sixties Roger Penrose and
Succeeding Context: used global techniques to prove that singularities are generic.
Paragraph Title: null
Source Page: Black hole

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_person_100007846
|  |  |---wordnet_peer_109626238
|  |  |  |---wordnet_associate_109816771
|  |  |  |  |---wordnet_colleague_109935990
|  |  |---wordnet_intellectual_109621545
|  |  |  |---wordnet_scholar_110557854
|  |  |  |  |---wordnet_alumnus_109786338
|  |  |---wordnet_communicator_109610660
|  |  |  |---wordnet_writer_110794014
|  |  |  |  |---wordnet_writer_110794014_rest
|  |  |---wordnet_adult_109605289
|  |  |  |---wordnet_professional_110480253
|  |  |  |  |---wordnet_educator_110045713
|  |  |  |  |  |---wordnet_academician_109759069
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_skilled_worker_110605985
|  |  |  |  |---wordnet_serviceman_110582746
|  |  |  |  |  |---wordnet_military_officer_110317007
|  |  |  |  |  |  |---wordnet_military_officer_110317007_rest
|  |  |---wordnet_scientist_110560637

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-2.252143165311228 0
wordnet_event_100029378-2.1632022774671045 0
wordnet_organization_108008335-3.3852134293506637 0
wordnet_person_1000078461.6373160903258703 1
wordnet_contestant_109613191-1.9264096827133412 0
wordnet_peer_1096262380.7996698712661139 1
wordnet_associate_1098167711.6118406288589016 1
wordnet_colleague_1099359901.437216960621602 1
wordnet_intellectual_1096215450.6168759124961873 1
wordnet_scholar_1105578541.1887352436254495 1
wordnet_historian_110177150-1.8502668784815701 0
wordnet_alumnus_1097863381.4010578246358263 1
wordnet_female_109619168-1.7671051099278987 0
wordnet_communicator_1096106600.8492210808472198 1
wordnet_negotiator_110351874-1.400207504963611 0
wordnet_writer_1107940141.4083532659518079 1
wordnet_poet_110444194-1.4663129239734027 0
wordnet_novelist_110363573-1.1834313123431892 0
wordnet_journalist_110224578-1.2166253060601901 0
wordnet_ruler_110541229-2.412075085505138 0
wordnet_adult_1096052890.8964929044362767 1
wordnet_professional_1104802531.4175150086966066 1
wordnet_educator_1100457131.191444387117049 1
wordnet_academician_1097590691.053083781430691 1
wordnet_lawyer_110249950-1.5146402758217463 0
wordnet_health_professional_110165109-1.5575783856630916 0
wordnet_woman_110787470-1.796805203412868 0
wordnet_entertainer_109616922-2.8514686637214477 0
wordnet_leader_109623038-3.0471589536771977 0
wordnet_worker_1096325180.7755707049485252 1
wordnet_skilled_worker_1106059851.2024799067427232 1
wordnet_serviceman_1105827461.1579574293362183 1
wordnet_military_officer_1103170071.1429386512108137 1
wordnet_commissioned_officer_109942970-1.8383793947309541 0
wordnet_official_110372373-1.3533268463992534 0
wordnet_scientist_1105606371.4065779271276102 1
wordnet_creator_109614315-2.3911117614789497 0
wordnet_traveler_109629752-2.0559437676975874 0
wordnet_disputant_109615465-2.213462486302998 0
wordnet_preserver_110466918-2.411232755196951 0
wordnet_unfortunate_109630641-1.8734633195883348 0
wordnet_expert_109617867-2.071983230051552 0
wordnet_adjudicator_109769636-2.3661633923013516 0
wordnet_good_person_110138767-2.166688539893793 0
wordnet_authority_109824609-3.0658104739053242 0
wordnet_combatant_109939313-1.7706414368753525 0
yagoGeoEntity-2.73498228064385 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |  |---wordnet_contestant_109613191
|  |  |---wordnet_peer_109626238
|  |  |  |---wordnet_associate_109816771
|  |  |  |  |---wordnet_colleague_109935990
|  |  |---wordnet_intellectual_109621545
|  |  |  |---wordnet_scholar_110557854
|  |  |  |  |---wordnet_historian_110177150
|  |  |  |  |---wordnet_alumnus_109786338
|  |  |---wordnet_female_109619168
|  |  |  |---wordnet_woman_110787470
|  |  |---wordnet_communicator_109610660
|  |  |  |---wordnet_negotiator_110351874
|  |  |  |---wordnet_writer_110794014
|  |  |  |  |---wordnet_poet_110444194
|  |  |  |  |---wordnet_novelist_110363573
|  |  |  |  |---wordnet_journalist_110224578
|  |  |---wordnet_ruler_110541229
|  |  |---wordnet_adult_109605289
|  |  |  |---wordnet_professional_110480253
|  |  |  |  |---wordnet_educator_110045713
|  |  |  |  |  |---wordnet_academician_109759069
|  |  |  |  |---wordnet_lawyer_110249950
|  |  |  |  |---wordnet_health_professional_110165109
|  |  |  |---wordnet_woman_110787470
|  |  |---wordnet_entertainer_109616922
|  |  |---wordnet_leader_109623038
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_skilled_worker_110605985
|  |  |  |  |---wordnet_serviceman_110582746
|  |  |  |  |  |---wordnet_military_officer_110317007
|  |  |  |  |  |  |---wordnet_commissioned_officer_109942970
|  |  |  |  |---wordnet_official_110372373
|  |  |---wordnet_scientist_110560637
|  |  |---wordnet_creator_109614315
|  |  |---wordnet_traveler_109629752
|  |  |---wordnet_disputant_109615465
|  |  |---wordnet_preserver_110466918
|  |  |---wordnet_unfortunate_109630641
|  |  |---wordnet_expert_109617867
|  |  |---wordnet_adjudicator_109769636
|  |  |---wordnet_good_person_110138767
|  |  |---wordnet_authority_109824609
|  |  |---wordnet_combatant_109939313
|  |---yagoGeoEntity