Triple

T14785239
Position Surface form Disambiguated ID Type / Status
Subject Visionary Award E347503 entity
Predicate notableRecipient P108 FINISHED
Object FX Networks E87107 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: FX Networks | Statement: [Visionary Award, notableRecipient, FX Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX Networks
Context triple: [Visionary Award, notableRecipient, FX Networks]
  • A. FX Networks chosen
    FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented programming.
  • B. Fox Networks Group
    Fox Networks Group was a global media company that operated and distributed a portfolio of television channels and related content brands worldwide.
  • C. FOX
    FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
  • D. Paramount Network
    Paramount Network is an American cable television channel owned by Paramount Global, known for airing original scripted series, reality shows, and feature films.
  • E. Fox Channel
    Fox Channel is an international entertainment television network known for airing a mix of popular TV series, movies, and original programming across various global markets.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388d398c81909d275f487cc38d9c completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.