Triple

T17063562
Position Surface form Disambiguated ID Type / Status
Subject Cinemax E414023 entity
Predicate hasBrand P1500 FINISHED
Object Cinemax 2 E414023 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: Cinemax 2 | Statement: [Cinemax, hasBrand, Cinemax 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinemax 2
Context triple: [Cinemax, hasBrand, Cinemax 2]
  • A. Cinemax chosen
    Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
  • B. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • C. Filmax
    Filmax is a Spanish film production and distribution company known for producing and releasing a wide range of genre and independent films.
  • D. Max (streaming service)
    Max is a subscription-based streaming platform owned by Warner Bros. Discovery that offers a wide range of HBO content alongside additional movies, series, and originals.
  • E. Cinesphere
    Cinesphere is a landmark domed cinema in Toronto, Canada, known as the world’s first permanent IMAX theatre and a key architectural feature of the Ontario Place complex.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7f6a6081909bebce3ce925e663 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234be4e4819084701902e7bd3a27 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.