Classifier Instance:

Anchor text: Scream 4
Target Entity: Scream_4
Preceding Context: In the latter two films of the Scream horror trilogy, a film-within-a-film format is used when the events of the first film spawn their own horror trilogy within the films themselves. In Scream 2, characters get killed while watching a film version of the events in the first Scream film, while in Scream 3 the actors playing the trilogy's characters end up getting killed, much in the same way as the characters they are playing on screen. In the latest Scream movie,
Succeeding Context: , in the opening sequence, two characters are watching Stab 7 before they get killed. Also, the characters of Stab 7 are watching Stab 6. There's also a party in which all seven Stab movies were going to be shown. References are also made to Stab 5 involving time travel as a plot device.
Paragraph Title: null
Source Page: Story within a story

Ground Truth Types:

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|  |  |  |---wordnet_product_104007894
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|  |  |  |  |---wordnet_movie_106613686
|  |  |  |  |  |---wordnet_movie_106613686_rest

Predicted Types:

TypeConfidenceDecision
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wordnet_event_1000293780.5971339953154243 1
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wordnet_documentary_106616806-1.7894539432670764 0
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wordnet_organization_108008335-2.3052499695807267 0
wordnet_person_100007846-2.404956566924993 0
yagoGeoEntity-1.9925669343788281 0
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|  |  |  |  |---wordnet_movie_106613686
|  |  |  |  |  |---wordnet_musical_107019172
|  |  |  |  |  |---wordnet_documentary_106616806
|  |  |  |---wordnet_art_102743547
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|  |  |  |---wordnet_group_action_101080366
|  |  |---wordnet_social_event_107288639
|  |  |  |---wordnet_contest_107456188
|  |  |  |---wordnet_show_106619065
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|  |  |  |  |---wordnet_play_107018931
|  |  |  |  |  |---wordnet_musical_107019172
|  |  |  |  |---wordnet_movie_106613686
|  |  |  |  |  |---wordnet_musical_107019172
|  |  |  |  |  |---wordnet_documentary_106616806
|  |  |  |  |---wordnet_attraction_106615561
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|  |  |---wordnet_group_action_101080366
|  |---wordnet_organization_108008335
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|  |---yagoGeoEntity
|  |  |---wordnet_structure_104341686
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|  |  |---wordnet_way_104564698