Triple

T12992052
Position Surface form Disambiguated ID Type / Status
Subject Red Dragon E321929 entity
Predicate director P255 FINISHED
Object Brett Ratner E80794 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: Brett Ratner | Statement: [Red Dragon, director, Brett Ratner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brett Ratner
Context triple: [Red Dragon, director, Brett Ratner]
  • A. Brett Ratner chosen
    Brett Ratner is an American film director and producer best known for commercial hits like the Rush Hour series and X-Men: The Last Stand.
  • B. Peter Segal
    Peter Segal is an American film director known for mainstream comedies such as "Tommy Boy," "50 First Dates," and "Get Smart."
  • C. Barry Sonnenfeld
    Barry Sonnenfeld is an American filmmaker and cinematographer best known for directing the Men in Black trilogy and The Addams Family films.
  • D. Jon Turteltaub
    Jon Turteltaub is an American film director and producer known for helming popular mainstream movies such as the National Treasure series, Cool Runnings, and While You Were Sleeping.
  • E. Marc Turtletaub
    Marc Turtletaub is an American film producer and director known for backing acclaimed independent and character-driven movies such as "Little Miss Sunshine" and "A Beautiful Day in the Neighborhood."
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc277c881909ae77e8a44e06986 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 8:43 p.m.