Classifier Instance:

Anchor text: Singer Corporation
Target Entity: Singer_Corporation
Preceding Context: The Predictor's plans were passed to Sperry, who were just commencing production of their own complex high-altitude system, the M7 Computing Sight, and had no excess capacity to produce the new design as well. Instead, they completed changes needed to U.S. production and sent the plans back to the Army for production elsewhere and in December 1940 the
Succeeding Context: was contracted to produce 1,500 predictors per month to equip the Army's existing 37 mm guns while production of the 40 mm Bofors was ramped up. Singer required massive changes in the company, including building new factories and the switching of a foundry from steel to aluminum and production did not begin until January 1943, but the entire order was filled for the M5 Antiaircraft Director by the middle of 1944. For a brief time, some of the U.S. Army's Bofors guns were equipped with the Sperry M7, but these were replaced in the field as soon as M5s became available.
Paragraph Title: US service
Source Page: Kerrison Predictor

Ground Truth Types:

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

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-1.0804505836448233 0
wordnet_event_100029378-1.179461740532789 0
wordnet_organization_1080083351.809538782316131 1
wordnet_nongovernmental_organization_108009834-1.7641824490495914 0
wordnet_unit_108189659-1.5152631015203646 0
wordnet_institution_1080535761.5435203577365237 1
wordnet_company_1080580982.639655552647522 1
wordnet_broadcasting_company_108002015-1.2840311983300825 0
wordnet_subsidiary_company_108003935-1.3653892339895144 0
wordnet_electronics_company_108003035-1.3548726374542748 0
wordnet_food_company_108003427-1.554487956493837 0
wordnet_service_108186047-1.855698141488016 0
wordnet_educational_institution_108276342-2.5476273583976257 0
wordnet_financial_institution_108054721-1.8343351991717909 0
wordnet_religion_108081668-2.380832701347655 0
wordnet_musical_organization_108246613-1.9375113506667518 0
wordnet_enterprise_108056231-1.6433611278555231 0
wordnet_association_108049401-2.7305570579348513 0
wordnet_polity_108050385-2.2211313132328856 0
wordnet_party_108256968-2.3393052704330413 0
wordnet_force_108208016-2.4229658903011826 0
wordnet_company_108187033-2.102867946321506 0
wordnet_deputation_108402442-2.674199344182935 0
wordnet_union_108233056-1.923100852292665 0
wordnet_alliance_108293982-2.265930258357414 0
wordnet_person_100007846-1.7265480259894672 0
yagoGeoEntity-1.4470654595070416 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
|  |---yagoGeoEntity