Triple

T2461696
Position Surface form Disambiguated ID Type / Status
Subject Fast & Furious E54547 entity
Predicate productionCompany P490 FINISHED
Object One Race Films E241108 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: One Race Films | Statement: [Fast & Furious, productionCompany, One Race Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Race Films
Context triple: [Fast & Furious, productionCompany, One Race Films]
  • A. One Race Films chosen
    One Race Films is a film and television production company founded by Vin Diesel, best known for producing entries in the Fast & Furious franchise.
  • B. Rumble Films
    Rumble Films is an American film production company known for producing independent and genre-driven movies.
  • C. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • D. B-Reel Films
    B-Reel Films is a Swedish film and television production company known for producing documentaries and narrative features, including the climate-focused film "I Am Greta."
  • E. 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.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd11c47408190b10c7f6a151f2db2 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0d2b2748190b12611863d8bf4ad completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.