Triple

T3156488
Position Surface form Disambiguated ID Type / Status
Subject WWOR-TV E65996 entity
Predicate networkAffiliation P12340 FINISHED
Object MyNetworkTV E231017 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MyNetworkTV | Statement: [WWOR-TV, networkAffiliation, MyNetworkTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MyNetworkTV
Context triple: [WWOR-TV, networkAffiliation, MyNetworkTV]
  • A. MyNetworkTV chosen
    MyNetworkTV is an American television programming service that primarily offers syndicated dramas and movies to affiliated broadcast stations across the United States.
  • B. MSG Network
    MSG Network is a regional sports television network based in New York, best known for broadcasting New York Knicks and Rangers games and related programming.
  • C. ThisTV Network
    ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
  • D. USA Network
    USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
  • E. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5eafa4c8190a65cc1312823144c completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235c3554c8190a94040955391a020 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.