Triple

T12719169
Position Surface form Disambiguated ID Type / Status
Subject Avi Lerner E303929 entity
Predicate founded P104 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: [Avi Lerner, founded, Millennium Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millennium Films
Context triple: [Avi Lerner, founded, 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8250108190bb7b3c93e590ea47 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:24 p.m.