Triple

T9735643
Position Surface form Disambiguated ID Type / Status
Subject Murderball E236049 entity
Predicate distributor P1951 FINISHED
Object ThinkFilm E340329 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: ThinkFilm | Statement: [Murderball, distributor, ThinkFilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ThinkFilm
Context triple: [Murderball, distributor, ThinkFilm]
  • A. Alliance Films
    Alliance Films was a major Canadian film distribution and production company known for releasing a wide range of independent and international movies in Canada and other markets.
  • B. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • C. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • D. THINKFilm chosen
    THINKFilm was an independent film distribution company known for releasing acclaimed documentaries and art-house films in the early 2000s.
  • E. Millennium Films
    Millennium Films is an American independent film production company known for producing mid-budget action and thriller movies, including titles like The Expendables series.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eee70d48190af5a833d7b33aaa5 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afce9834819090949690b4ca8622 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.