Triple

T18922267
Position Surface form Disambiguated ID Type / Status
Subject Condor E462885 entity
Predicate originalNetwork P2594 FINISHED
Object Epix 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: Epix | Statement: [Condor, originalNetwork, Epix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epix
Context triple: [Condor, originalNetwork, Epix]
  • A. Epix chosen
    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+.
  • B. 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.
  • C. Cinemax
    Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
  • D. Maverick Television
    Maverick Television is a British television production company known for creating popular factual and entertainment programming.
  • E. Acorn TV
    Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b4822c8190a0aeceb4499e775e completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.