Triple

T21341983
Position Surface form Disambiguated ID Type / Status
Subject Barbara Reynolds E526216 entity
Predicate networkOfShow P833 FINISHED
Object FXX 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: FXX | Statement: [Barbara Reynolds, networkOfShow, FXX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FXX
Context triple: [Barbara Reynolds, networkOfShow, FXX]
  • A. FXX chosen
    FXX is an American cable television channel owned by FX Networks that primarily airs comedy series and adult-oriented entertainment.
  • B. Comedy Central
    Comedy Central is an American cable television channel known for its stand-up specials, sketch shows, and satirical series such as The Daily Show and South Park.
  • C. Epix
    Epix was a premium American cable and streaming television network known for airing recent Hollywood films, original series, and specials before being rebranded as MGM+.
  • D. 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.
  • E. Showtime
    Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports programming.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a84fa8088190afda63af7f4ce586 completed April 22, 2026, 10:51 a.m.
Created at: April 16, 2026, 4:44 p.m.