Triple

T13581479
Position Surface form Disambiguated ID Type / Status
Subject FX on Hulu E324427 entity
Predicate focusesOnContentFrom P110157 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: [FX on Hulu, focusesOnContentFrom, FX Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX Networks
Context triple: [FX on Hulu, focusesOnContentFrom, 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8deae88190b932a57789c70e77 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:48 p.m.