Triple

T18983270
Position Surface form Disambiguated ID Type / Status
Subject The Business E464483 entity
Predicate productionCompany P490 FINISHED
Object Vertigo Films NE NERFINISHED

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: [The Business, productionCompany, Vertigo Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vertigo Films
Context triple: [The Business, 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 (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65de6288190a53a3fdd59013d2d completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.