Classifier Instance:

Anchor text: Royal Horse Artillery
Target Entity: Royal_Horse_Artillery
Preceding Context: In essence this type of massed cavalry attack relied almost entirely on psychological shock for effect. Close artillery support could disrupt infantry squares and allow cavalry to penetrate; at Waterloo, however, co-operation between the French cavalry and artillery was not impressive. The French artillery did not get close enough to the Anglo-allied infantry in sufficient numbers to be decisive. Artillery fire between charges did produce mounting casualties, but most of this fire was at relatively long range and was often indirect, at targets beyond the ridge. If infantry being attacked held firm in their square defensive formations, and were not panicked, cavalry on their own could do very little damage to them. The French cavalry attacks were repeatedly repelled by the steadfast infantry squares, the harrying fire of British artillery as the French cavalry recoiled down the slopes to regroup, and the decisive counter-charges of Wellington's light cavalry regiments, the Dutch heavy cavalry brigade, and the remaining effectives of the Household Cavalry. At least one artillery officer disobeyed Wellington's order to seek shelter in the adjacent squares during the charges. Captain Mercer, who commanded 'G' Troop,
Succeeding Context: , thought the Brunswick troops on either side of him so shaky that he kept his battery of six nine-pounders in action against the cavalry throughout, to great effect:
Paragraph Title: null
Source Page: Battle of Waterloo

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_organization_108008335
|  |  |---wordnet_unit_108189659
|  |  |  |---wordnet_military_unit_108198398
|  |  |  |  |---wordnet_army_unit_108190754
|  |  |  |  |  |---wordnet_regiment_108213817

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-2.3928678663032734 0
wordnet_event_100029378-2.2580586673272736 0
wordnet_organization_1080083351.9766181115670833 1
wordnet_nongovernmental_organization_108009834-1.7730137754521471 0
wordnet_unit_1081896591.9339409272845338 1
wordnet_military_unit_1081983982.0883891844037143 1
wordnet_army_unit_1081907541.0086062164650058 1
wordnet_regiment_1082138170.8583817678909914 1
wordnet_brigade_108213978-0.9788753707594388 0
wordnet_cavalry_108389710-1.3437674418576946 0
wordnet_division_108213205-1.7842689169348618 0
wordnet_battalion_108214083-1.1965102420866054 0
wordnet_family_108078020-1.3992606663836071 0
wordnet_administrative_unit_108077292-1.612032016181439 0
wordnet_team_108208560-1.9552129655769648 0
wordnet_political_unit_108359949-2.1153588603201183 0
wordnet_institution_108053576-2.4046790290980975 0
wordnet_musical_organization_108246613-2.3820037913266856 0
wordnet_enterprise_108056231-1.966557296691783 0
wordnet_association_108049401-2.2179851618907382 0
wordnet_polity_108050385-1.7358581029614457 0
wordnet_party_108256968-1.7118895231679618 0
wordnet_force_108208016-0.7160940934211365 0
wordnet_company_108187033-1.398295386016683 0
wordnet_deputation_108402442-1.7783516784965083 0
wordnet_union_108233056-1.699588792805058 0
wordnet_alliance_108293982-2.0080350254925268 0
wordnet_person_100007846-1.7712793863585792 0
yagoGeoEntity-2.940186227447419 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |  |---wordnet_nongovernmental_organization_108009834
|  |  |---wordnet_unit_108189659
|  |  |  |---wordnet_military_unit_108198398
|  |  |  |  |---wordnet_army_unit_108190754
|  |  |  |  |  |---wordnet_regiment_108213817
|  |  |  |  |  |---wordnet_brigade_108213978
|  |  |  |  |  |---wordnet_cavalry_108389710
|  |  |  |  |  |---wordnet_division_108213205
|  |  |  |  |  |---wordnet_battalion_108214083
|  |  |  |---wordnet_family_108078020
|  |  |  |---wordnet_administrative_unit_108077292
|  |  |  |---wordnet_team_108208560
|  |  |  |---wordnet_political_unit_108359949
|  |  |---wordnet_institution_108053576
|  |  |---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