Triple

T14413451
Position Surface form Disambiguated ID Type / Status
Subject Speak (2004 film) E357387 entity
Predicate distributor P1951 FINISHED
Object Showtime Networks E71141 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: Showtime Networks | Statement: [Speak (2004 film), distributor, Showtime Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Showtime Networks
Context triple: [Speak (2004 film), distributor, Showtime Networks]
  • A. Showtime chosen
    Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports programming.
  • B. Cinemax
    Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
  • C. 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.
  • D. AMC Networks
    AMC Networks is an American entertainment company and cable television broadcaster best known for operating channels like AMC, IFC, and SundanceTV and producing acclaimed original series.
  • E. HBO
    HBO is a premium American television and streaming network known for producing influential, high-quality original series, films, and documentaries such as "The Sopranos," "Game of Thrones," and "Succession."
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d82f9ec81909e52485f6ec1837e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:17 a.m.