Classifier Instance:

Anchor text: Vikram Amar
Target Entity: Vikram_Amar
Preceding Context: If a state makes it harder for its citizens to vote, whether by making voting more difficult, or by legally disfranchising some citizens (such as those convicted of felonies) from voting, and turnout in the state is reduced as a result, the Electoral College insulates the state from being penalized. In fact, legal scholars Akhil Amar and
Succeeding Context: point out that the original compromise of the Electoral College was largely due to this very fact. Direct national election of the President (which was proposed by a delegate from Pennsylvania) would have enabled the North to outvote the South, because "the South would get no credit for its half-million slaves, none of whom, of course, would be able to vote. The electoral college system that ultimately emerged gave the South partial—three-fifths—credit for its slaves." The states were thus allowed to disfranchise large numbers of citizens while maintaining the same influence in the Electoral College. Akhil and Vikram Amar note,
Paragraph Title: Allows states to disenfranchise citizens without penalty
Source Page: Electoral College (United States)

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_person_100007846
|  |  |---wordnet_intellectual_109621545
|  |  |  |---wordnet_scholar_110557854
|  |  |  |  |---wordnet_alumnus_109786338
|  |  |---wordnet_adult_109605289
|  |  |  |---wordnet_professional_110480253
|  |  |  |  |---wordnet_lawyer_110249950
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_worker_109632518_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-2.1000022970032366 0
wordnet_event_100029378-1.6375722036260312 0
wordnet_organization_108008335-2.7322311372516883 0
wordnet_person_1000078460.8260785325805964 1
wordnet_contestant_109613191-2.3333606792298873 0
wordnet_peer_109626238-1.7718147567994345 0
wordnet_intellectual_1096215450.997423631285942 1
wordnet_scholar_1105578542.0131289758396083 1
wordnet_historian_110177150-1.8196047793815204 0
wordnet_alumnus_1097863381.2528249119310544 1
wordnet_female_109619168-2.0947563195211742 0
wordnet_communicator_109610660-2.095935422410961 0
wordnet_ruler_110541229-2.247279731526228 0
wordnet_adult_1096052890.7733077484822405 1
wordnet_professional_1104802531.5548511199890371 1
wordnet_educator_110045713-1.353351154036202 0
wordnet_lawyer_1102499501.2473455746834925 1
wordnet_health_professional_110165109-1.5080790501842982 0
wordnet_woman_110787470-1.763350086413201 0
wordnet_entertainer_109616922-3.082617310372474 0
wordnet_leader_109623038-2.082914821533203 0
wordnet_worker_1096325180.18893801536009222 1
wordnet_skilled_worker_110605985-0.9599428333534834 0
wordnet_scientist_110560637-1.7008797163857692 0
wordnet_creator_109614315-2.5299921091038837 0
wordnet_traveler_109629752-1.9057503672062341 0
wordnet_disputant_109615465-1.6836718276183706 0
wordnet_preserver_110466918-2.687403877809236 0
wordnet_unfortunate_109630641-1.5906592642040889 0
wordnet_expert_109617867-1.387064383728932 0
wordnet_adjudicator_109769636-1.2103492951592332 0
wordnet_good_person_110138767-2.7068878453177225 0
wordnet_authority_109824609-1.8395813206953529 0
wordnet_combatant_109939313-1.8078726486995247 0
yagoGeoEntity-1.5236153119390052 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |  |---wordnet_contestant_109613191
|  |  |---wordnet_peer_109626238
|  |  |---wordnet_intellectual_109621545
|  |  |  |---wordnet_scholar_110557854
|  |  |  |  |---wordnet_historian_110177150
|  |  |  |  |---wordnet_alumnus_109786338
|  |  |---wordnet_female_109619168
|  |  |  |---wordnet_woman_110787470
|  |  |---wordnet_communicator_109610660
|  |  |---wordnet_ruler_110541229
|  |  |---wordnet_adult_109605289
|  |  |  |---wordnet_professional_110480253
|  |  |  |  |---wordnet_educator_110045713
|  |  |  |  |---wordnet_lawyer_110249950
|  |  |  |  |---wordnet_health_professional_110165109
|  |  |  |---wordnet_woman_110787470
|  |  |---wordnet_entertainer_109616922
|  |  |---wordnet_leader_109623038
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_skilled_worker_110605985
|  |  |---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