Triple

T15566047
Position Surface form Disambiguated ID Type / Status
Subject Arthur Mitchell E371115 entity
Predicate network P2637 FINISHED
Object Showtime 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 | Statement: [Arthur Mitchell, network, Showtime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Showtime
Context triple: [Arthur Mitchell, network, Showtime]
  • 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. 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."
  • D. HBO
    HBO is the Dutch sector of universities of applied sciences that focuses on professionally oriented higher education and practical training.
  • E. 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+.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddd753c8190b51eaef433258081 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456a3b08819092f9f517bbef5577 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:10 a.m.