Classifier Instance:

Anchor text: William H. Riker
Target Entity: William_H\u002e_Riker
Preceding Context: The late 1960s and early 1970s witnessed a take off in the use of deductive, game theoretic formal modeling techniques aimed at generating a more analytical corpus of knowledge in the discipline. This period saw a surge of research that borrowed theory and methods from economics to study political institutions, such as the United States Congress, as well as political behavior, such as voting.
Succeeding Context: and his colleagues and students at the University of Rochester were the main proponents of this shift. Criticisms of the use of this rational choice theorizing has been widespread, even among political scientists who adopt quantitative methods.
Paragraph Title: Behavioral revolution and new institutionalism
Source Page: Political science

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_person_100007846
|  |  |---wordnet_intellectual_109621545
|  |  |  |---wordnet_scholar_110557854
|  |  |  |  |---wordnet_alumnus_109786338
|  |  |---wordnet_scientist_110560637

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-1.9945519823595959 0
wordnet_event_100029378-2.1157555761876163 0
wordnet_organization_108008335-2.0070525842559173 0
wordnet_person_1000078462.072256513084791 1
wordnet_contestant_109613191-2.1541628839959266 0
wordnet_peer_109626238-1.529073696600554 0
wordnet_intellectual_1096215451.8785664016894175 1
wordnet_scholar_1105578540.9619440791406487 1
wordnet_historian_110177150-1.392174555898915 0
wordnet_alumnus_1097863381.1261905032718866 1
wordnet_female_109619168-1.769077891559136 0
wordnet_communicator_109610660-1.5355902280293576 0
wordnet_ruler_110541229-2.2250511359375915 0
wordnet_adult_109605289-1.2753219499796815 0
wordnet_entertainer_109616922-2.943091599225915 0
wordnet_leader_109623038-1.9327417989081856 0
wordnet_worker_109632518-2.2837056791732677 0
wordnet_scientist_1105606371.469855366684317 1
wordnet_creator_109614315-2.3611925708671504 0
wordnet_traveler_109629752-1.597912828260451 0
wordnet_disputant_109615465-1.098279011287624 0
wordnet_preserver_110466918-1.6488473186248276 0
wordnet_unfortunate_109630641-1.2625616315976111 0
wordnet_expert_109617867-2.039876279122698 0
wordnet_adjudicator_109769636-1.6474788922270671 0
wordnet_good_person_110138767-1.6429364716971677 0
wordnet_authority_109824609-2.25637736306087 0
wordnet_combatant_109939313-1.736344930428591 0
yagoGeoEntity-1.8285167032795402 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_communicator_109610660
|  |  |---wordnet_ruler_110541229
|  |  |---wordnet_adult_109605289
|  |  |---wordnet_entertainer_109616922
|  |  |---wordnet_leader_109623038
|  |  |---wordnet_worker_109632518
|  |  |---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