Triple

T13675928
Position Surface form Disambiguated ID Type / Status
Subject Steven Canals E327876 entity
Predicate employer P7 FINISHED
Object FX (network) 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 (network) | Statement: [Steven Canals, employer, FX (network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX (network)
Context triple: [Steven Canals, employer, FX (network)]
  • 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
    FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
  • C. W Network
    W Network is a Canadian specialty television channel known for lifestyle, reality, and entertainment programming aimed primarily at women.
  • D. FXX
    FXX is an American cable television channel owned by FX Networks that primarily airs comedy series and adult-oriented 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65c04988190b675e6fb7241e53c completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.