Classifier Instance:

Anchor text: Ugly Betty
Target Entity: Ugly_Betty
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, Saturday Night Live, Seinfeld, Sex and the City, Spin City, Sports Night,
Succeeding Context: , Flight of the Conchords, '"Cagney & Lacey"', and Will & Grace.
Paragraph Title: Television and Film in NYC
Source Page: Manhattan

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_event_100029378
|  |  |---wordnet_act_100030358
|  |  |  |---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_100021939-1.632708294940241 0
wordnet_event_1000293782.259179029356478 1
wordnet_act_1000303581.691485491656789 1
wordnet_action_1000373962.1222314281804042 1
wordnet_change_1001911421.70907276476278 1
wordnet_change_of_state_1001991302.4400436732133395 1
wordnet_termination_100209943-2.0139091754544336 0
wordnet_beginning_1002354352.5555669205548983 1
wordnet_introduction_1002380221.673850309109721 1
wordnet_motion_100279835-2.046176483467199 0
wordnet_motion_100331950-2.208294775152374 0
wordnet_activity_100407535-1.206431767432485 0
wordnet_speech_act_107160883-1.7743796880160456 0
wordnet_group_action_101080366-2.1663465801828274 0
wordnet_communication_106252138-2.511931516162998 0
wordnet_social_event_1072886391.258950792199774 1
wordnet_contest_107456188-2.2208995083280025 0
wordnet_show_1066190651.944093108221542 1
wordnet_broadcast_1066194281.891535971605325 1
wordnet_serial_106621447-1.453122388877655 0
wordnet_television_program_1066205790.9422880053507583 1
wordnet_game_show_106621061-1.7274899960747192 0
wordnet_play_107018931-2.4106612318853813 0
wordnet_movie_106613686-2.150002011657829 0
wordnet_attraction_106615561-2.1133914829422693 0
wordnet_happening_107283608-2.984785487442671 0
wordnet_group_action_101080366-2.5706271741310727 0
wordnet_organization_108008335-3.1314137902104164 0
wordnet_person_100007846-2.358823034284409 0
yagoGeoEntity-3.666362931428626 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |  |---wordnet_act_100030358
|  |  |  |---wordnet_action_100037396
|  |  |  |  |---wordnet_change_100191142
|  |  |  |  |  |---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