Triple

T13911620
Position Surface form Disambiguated ID Type / Status
Subject xXx: Return of Xander Cage E334510 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: [xXx: Return of Xander Cage, productionCompany, One Race Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Race Films
Context triple: [xXx: Return of Xander Cage, 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. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • C. Fuqua Films
    Fuqua Films is an American film and television production company founded by director Antoine Fuqua, known for producing action-driven and dramatic projects.
  • D. Rumble Films
    Rumble Films is an American film production company known for producing independent and genre-driven movies.
  • E. Romulus Films
    Romulus Films is a British film production and distribution company known for backing several notable mid-20th-century 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72879e48190ac01d0a2023b098c completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.