Triple

T11236711
Position Surface form Disambiguated ID Type / Status
Subject Bronson E265957 entity
Predicate productionCompany P490 FINISHED
Object Vertigo Films E509897 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: Vertigo Films | Statement: [Bronson, productionCompany, Vertigo Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vertigo Films
Context triple: [Bronson, productionCompany, Vertigo Films]
  • A. Vertigo Films chosen
    Vertigo Films is a British film and television production company known for producing a range of independent and genre films as well as TV series.
  • B. Vertigo Entertainment
    Vertigo Entertainment is an American film and television production company known for developing and producing genre films, including numerous horror and thriller titles.
  • 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. Vertigo Productions
    Vertigo Productions is a film production company known for backing the acclaimed Australian feature "Ten Canoes."
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc5bcff08190830d09c9aa0187b2 completed April 19, 2026, 12:36 p.m.
Created at: April 8, 2026, 9:30 p.m.