Classifier Instance:

Anchor text: Saturday Night Live
Target Entity: Saturday_Night_Live
Preceding Context: Modern New York City is familiar to many people around the globe thanks to its popularity as a setting for films and television series. Notable television examples of shows set in Manhattan include such award-winning shows and franchises as White Collar, 30 Rock, I Love Lucy, Friends, Gossip Girl, The Jeffersons, How I Met Your Mother, The Law & Order series (most spin-offs included), Mad About You, NYPD Blue, The Odd Couple,
Succeeding Context: , Seinfeld, Sex and the City, Spin City, Sports Night, Ugly Betty, Flight of the Conchords, '"Cagney & Lacey"', and Will & Grace.
Paragraph Title: Television and Film in NYC
Source Page: Manhattan

Ground Truth Types:

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|  |  |  |---wordnet_action_100037396
|  |  |  |  |---wordnet_change_100191142
|  |  |  |  |  |---wordnet_change_of_state_100199130
|  |  |  |  |  |  |---wordnet_beginning_100235435
|  |  |  |  |  |  |  |---wordnet_introduction_100238022
|  |  |---wordnet_social_event_107288639
|  |  |  |---wordnet_show_106619065
|  |  |  |  |---wordnet_broadcast_106619428
|  |  |  |  |  |---wordnet_television_program_106620579

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-1.0042493367434755 0
wordnet_event_1000293783.3479733710802804 1
wordnet_act_1000303581.5580900589753663 1
wordnet_action_1000373962.4340613587593483 1
wordnet_change_1001911422.020063523670563 1
wordnet_change_of_state_1001991302.5442572853254393 1
wordnet_termination_100209943-1.766769387788039 0
wordnet_beginning_1002354352.505347720325712 1
wordnet_introduction_1002380221.9294405020410834 1
wordnet_motion_100279835-2.428121129867019 0
wordnet_motion_100331950-2.1542661271169568 0
wordnet_activity_100407535-0.4360097523191701 0
wordnet_speech_act_107160883-2.6341703792861786 0
wordnet_group_action_101080366-2.997316285233584 0
wordnet_communication_106252138-1.5714368927144182 0
wordnet_social_event_1072886391.4569083314007245 1
wordnet_contest_107456188-2.4015559490312888 0
wordnet_show_1066190652.456549770993342 1
wordnet_broadcast_1066194281.8048160775839934 1
wordnet_serial_106621447-1.6993034101779962 0
wordnet_television_program_1066205791.2672831842476933 1
wordnet_game_show_106621061-1.6017461732835192 0
wordnet_play_107018931-2.1388522228165905 0
wordnet_movie_106613686-1.7659911004919464 0
wordnet_attraction_106615561-2.385920727093895 0
wordnet_happening_107283608-2.5212478948267654 0
wordnet_group_action_101080366-3.379745815330496 0
wordnet_organization_108008335-4.184980110911221 0
wordnet_person_100007846-3.5145361969992077 0
yagoGeoEntity-3.264504839237098 0
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|  |---wordnet_event_100029378
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|  |  |  |  |  |---wordnet_change_of_state_100199130
|  |  |  |  |  |  |---wordnet_termination_100209943
|  |  |  |  |  |  |---wordnet_beginning_100235435
|  |  |  |  |  |  |  |---wordnet_introduction_100238022
|  |  |  |  |  |---wordnet_motion_100279835
|  |  |  |  |  |---wordnet_motion_100331950
|  |  |  |---wordnet_activity_100407535
|  |  |  |---wordnet_speech_act_107160883
|  |  |  |---wordnet_group_action_101080366
|  |  |  |---wordnet_communication_106252138
|  |  |---wordnet_social_event_107288639
|  |  |  |---wordnet_contest_107456188
|  |  |  |---wordnet_show_106619065
|  |  |  |  |---wordnet_broadcast_106619428
|  |  |  |  |  |---wordnet_serial_106621447
|  |  |  |  |  |---wordnet_television_program_106620579
|  |  |  |  |  |---wordnet_game_show_106621061
|  |  |  |  |---wordnet_play_107018931
|  |  |  |  |---wordnet_movie_106613686
|  |  |  |  |---wordnet_attraction_106615561
|  |  |---wordnet_happening_107283608
|  |  |---wordnet_group_action_101080366
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity