Classifier Instance:

Anchor text: Cray
Target Entity: Cray
Preceding Context: The first use of SIMD instructions was in vector supercomputers of the early 1970s such as the CDC Star-100 and the Texas Instruments ASC, which could operate on a vector of data with a single instruction. Vector processing was especially popularized by
Succeeding Context: in the 1970s and 1980s. Vector-processing architectures are now considered separate from SIMD machines, based on the fact that vector machines processed the vectors one word at a time through pipelined processors (though still based on a single instruction), whereas modern SIMD machines process all elements of the vector simultaneously.
Paragraph Title: History
Source Page: SIMD

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_organization_108008335
|  |  |---wordnet_institution_108053576
|  |  |  |---wordnet_company_108058098
|  |  |  |  |---wordnet_company_108058098_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-2.515838632583491 0
wordnet_event_100029378-2.157049450670102 0
wordnet_organization_1080083350.08802221002190874 1
wordnet_nongovernmental_organization_108009834-2.31736563665475 0
wordnet_unit_108189659-2.9438501106116073 0
wordnet_institution_1080535761.8811106712902503 1
wordnet_company_1080580981.7860566011252574 1
wordnet_broadcasting_company_108002015-1.8811765724343625 0
wordnet_subsidiary_company_108003935-1.5499040307569885 0
wordnet_electronics_company_108003035-0.9392744886568661 0
wordnet_food_company_108003427-1.3898911115159933 0
wordnet_service_108186047-1.7199298860913785 0
wordnet_educational_institution_108276342-1.7010331126290017 0
wordnet_financial_institution_108054721-2.0524629697742256 0
wordnet_religion_108081668-1.5593565707787114 0
wordnet_musical_organization_108246613-1.9422581885973829 0
wordnet_enterprise_108056231-1.6809689317714795 0
wordnet_association_108049401-1.7943268970523294 0
wordnet_polity_108050385-1.6497349450338554 0
wordnet_party_108256968-2.3261021660297496 0
wordnet_force_108208016-1.8169304933614805 0
wordnet_company_108187033-1.8173100353775848 0
wordnet_deputation_108402442-1.597088499439265 0
wordnet_union_108233056-1.9960619927023533 0
wordnet_alliance_108293982-1.870502324025559 0
wordnet_person_1000078460.21550695261265507 1
wordnet_contestant_109613191-2.9846411977333336 0
wordnet_peer_109626238-1.938607129370961 0
wordnet_intellectual_1096215450.15328380942654282 1
wordnet_scholar_1105578540.770563143738742 1
wordnet_historian_110177150-2.3261151512010114 0
wordnet_alumnus_1097863381.5239381322579417 1
wordnet_female_109619168-2.251761495032894 0
wordnet_communicator_109610660-3.5030248129393833 0
wordnet_ruler_110541229-2.527205418020306 0
wordnet_adult_109605289-2.61642535423777 0
wordnet_entertainer_109616922-0.16196764338115863 0
wordnet_leader_109623038-0.29087107530652656 0
wordnet_worker_109632518-3.678724643164482 0
wordnet_scientist_1105606370.5994037620444904 1
wordnet_creator_1096143150.7082894097528055 1
wordnet_producer_110480018-2.2956013191523805 0
wordnet_artist_1098123380.4688979756586896 1
wordnet_musician_1103399660.7986864215903215 1
wordnet_composer_1099472321.213177755948184 1
wordnet_painter_110391653-1.6781629043078732 0
wordnet_traveler_109629752-3.206734737032364 0
wordnet_disputant_109615465-2.0574405342314583 0
wordnet_preserver_110466918-2.2247053567057846 0
wordnet_unfortunate_109630641-2.3659762048719024 0
wordnet_expert_109617867-0.20851813580217787 0
wordnet_adjudicator_109769636-2.260145805157934 0
wordnet_good_person_110138767-2.1709776631670086 0
wordnet_authority_109824609-2.6321697937275133 0
wordnet_combatant_109939313-2.4217255312589674 0
yagoGeoEntity-0.3431954399320526 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |  |---wordnet_nongovernmental_organization_108009834
|  |  |---wordnet_unit_108189659
|  |  |---wordnet_institution_108053576
|  |  |  |---wordnet_company_108058098
|  |  |  |  |---wordnet_broadcasting_company_108002015
|  |  |  |  |---wordnet_subsidiary_company_108003935
|  |  |  |  |---wordnet_electronics_company_108003035
|  |  |  |  |---wordnet_food_company_108003427
|  |  |  |  |---wordnet_service_108186047
|  |  |  |---wordnet_educational_institution_108276342
|  |  |  |---wordnet_financial_institution_108054721
|  |  |  |---wordnet_religion_108081668
|  |  |---wordnet_musical_organization_108246613
|  |  |---wordnet_enterprise_108056231
|  |  |---wordnet_association_108049401
|  |  |---wordnet_polity_108050385
|  |  |---wordnet_party_108256968
|  |  |---wordnet_force_108208016
|  |  |---wordnet_company_108187033
|  |  |---wordnet_deputation_108402442
|  |  |---wordnet_union_108233056
|  |  |---wordnet_alliance_108293982
|  |---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_producer_110480018
|  |  |  |---wordnet_artist_109812338
|  |  |  |  |---wordnet_musician_110339966
|  |  |  |  |  |---wordnet_composer_109947232
|  |  |  |  |---wordnet_painter_110391653
|  |  |---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