Triple

T11760254
Position Surface form Disambiguated ID Type / Status
Subject The Big Wedding E279634 entity
Predicate productionCompany P490 FINISHED
Object Millennium Films E268750 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: Millennium Films | Statement: [The Big Wedding, productionCompany, Millennium Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millennium Films
Context triple: [The Big Wedding, productionCompany, Millennium Films]
  • A. Millennium Films chosen
    Millennium Films is an American independent film production company known for producing mid-budget action and thriller movies, including titles like The Expendables series.
  • B. 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.
  • C. 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."
  • D. Miramax Films
    Miramax Films is an American film production and distribution company known for releasing influential independent and arthouse movies, particularly in the 1990s and early 2000s.
  • E. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1309f25a88190b0acaf7d9be6ae59 completed April 28, 2026, 10:11 p.m.
Created at: April 8, 2026, 9:41 p.m.