Triple

T15752016
Position Surface form Disambiguated ID Type / Status
Subject Money Talks E381868 entity
Predicate partOfCareerMilestoneFor P59782 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: [Money Talks, partOfCareerMilestoneFor, Brett Ratner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brett Ratner
Context triple: [Money Talks, partOfCareerMilestoneFor, 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa129a6448190affdee9d0b1362bc completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:47 a.m.