Triple

T18835498
Position Surface form Disambiguated ID Type / Status
Subject All American: Homecoming E460652 entity
Predicate distributor P1951 FINISHED
Object The CW Network NE NERFINISHED

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: The CW Network | Statement: [All American: Homecoming, distributor, The CW Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The CW Network
Context triple: [All American: Homecoming, distributor, The CW Network]
  • A. The CW
    The CW is an American broadcast television network known for targeting younger audiences with series in genres like teen drama, superhero shows, and fantasy.
  • B. WIN Television network
    WIN Television network is a major Australian regional commercial television broadcaster that operates a network of stations affiliated with national networks to serve audiences outside the metropolitan markets.
  • C. CW Network chosen
    The CW Network is an American broadcast television network known for airing youth-oriented series, superhero shows, and teen dramas.
  • D. Fox Broadcasting Company
    Fox Broadcasting Company is a major American television network known for its prime-time entertainment programming, including hit series, sports broadcasts, and news.
  • E. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99d491c81909d8e55ac45621d44 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.