Classifier Instance:

Anchor text: Kenneth Pollack
Target Entity: Kenneth_Pollack
Preceding Context: The 2nd and 3rd Armies were ordered to attack eastward in six simultaneous thrusts over a broad front, leaving behind five infantry divisions to hold the bridgeheads. The attacking forces, consisting of 800-1,000 tanks would not have SAM cover, so the Egyptian Air Force (EAF) was tasked with the defense of these forces from Israeli air attacks. Armored and mechanized units began the attack on October 14 with artillery support. They were up against 700-750 Israeli tanks. Preparatory to the tank attack, Egyptian helicopters set down 100 commandos near the Lateral Road to disrupt the Israeli rear. An Israeli reconnaissance unit quickly subdued them, killing 60 and taking numerous prisoners. Still bruised by the extensive losses their commandos had suffered on the opening day of the war, the Egyptians were unable or unwilling to implement further commando operations that had been planned in conjunction with the armored attack. The Egyptian armored thrust suffered heavy losses. Instead of concentrating forces of maneuvering, except for the wadi thrust, Egyptian units launched head-on-attacks against the waiting Israeli defenses.
Succeeding Context: credited a successful Israeli commando raid early on October 14 against an Egyptian signals-intercept site at Jebel Ataqah with seriously disrupting Egyptian command and control and contributing to its breakdown during the engagement. The Egyptian attack was decisively repelled. At least 250 Egyptian tanks and some 200 armored vehicles were destroyed. Egyptian casualties exceeded 1,000. Fewer than 40 Israeli tanks were hit and all but six of them were repaired by Israeli maintenance crews and returned to service. Israeli casualties were light.
Paragraph Title: null
Source Page: Yom Kippur War

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_educator_110045713
|  |  |  |  |  |---wordnet_academician_109759069
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_worker_109632518_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-0.9106806711494619 0
wordnet_event_100029378-1.6835635340812867 0
wordnet_organization_108008335-2.5278457885714074 0
wordnet_person_1000078461.7242176957977418 1
wordnet_contestant_109613191-2.3317550897128814 0
wordnet_peer_109626238-2.005663506523666 0
wordnet_intellectual_1096215451.2813225879210273 1
wordnet_scholar_1105578541.6120357739929454 1
wordnet_historian_110177150-1.4184227452256037 0
wordnet_alumnus_1097863381.60712974587303 1
wordnet_female_109619168-1.6576111355426701 0
wordnet_communicator_109610660-1.9814153834024106 0
wordnet_ruler_110541229-1.8013905138569861 0
wordnet_adult_1096052890.5266003244758585 1
wordnet_professional_1104802531.1517606223270593 1
wordnet_educator_1100457131.6700817419800957 1
wordnet_academician_1097590691.4398249865282617 1
wordnet_lawyer_110249950-0.8556213218529938 0
wordnet_health_professional_110165109-1.8719709276305463 0
wordnet_woman_110787470-1.3490709786729227 0
wordnet_entertainer_109616922-2.9479038579056454 0
wordnet_leader_109623038-1.6996669054365603 0
wordnet_worker_1096325180.7135630612289438 1
wordnet_skilled_worker_110605985-0.24209397026953233 0
wordnet_scientist_110560637-2.1553394857492676 0
wordnet_creator_109614315-2.8709266811799172 0
wordnet_traveler_109629752-1.6060534720780004 0
wordnet_disputant_109615465-1.5085600524562752 0
wordnet_preserver_110466918-1.7764167804127244 0
wordnet_unfortunate_109630641-1.7497290197766442 0
wordnet_expert_109617867-2.0099554400456134 0
wordnet_adjudicator_109769636-2.92994726554136 0
wordnet_good_person_110138767-1.9427254820550843 0
wordnet_authority_109824609-2.7830482243739123 0
wordnet_combatant_109939313-1.7293295228473333 0
yagoGeoEntity-1.7396895943587174 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_academician_109759069
|  |  |  |  |---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