Triple

T4663548
Position Surface form Disambiguated ID Type / Status
Subject Watch Over Me E102790 entity
Predicate originalNetwork P2594 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: [Watch Over Me, originalNetwork, MyNetworkTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MyNetworkTV
Context triple: [Watch Over Me, originalNetwork, 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03803a948190b6dc2a03bb9cdc93 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.