Triple

T9937081
Position Surface form Disambiguated ID Type / Status
Subject Mr. & Mrs. Smith (2005 film) E193985 entity
Predicate director P255 FINISHED
Object Doug Liman E126860 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: Doug Liman | Statement: [Mr. & Mrs. Smith (2005 film), director, Doug Liman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Liman
Context triple: [Mr. & Mrs. Smith (2005 film), director, Doug Liman]
  • A. Doug Liman chosen
    Doug Liman is an American film director and producer known for stylish, fast-paced action movies such as The Bourne Identity, Mr. & Mrs. Smith, and Edge of Tomorrow.
  • B. Joe Carnahan
    Joe Carnahan is an American filmmaker known for his stylish, high-energy action and crime films such as "Narc," "The Grey," and "Smokin' Aces."
  • C. David Ayer
    David Ayer is an American filmmaker best known for writing and directing gritty crime dramas and the comic-book film "Suicide Squad."
  • D. Glenn Ficarra
    Glenn Ficarra is an American filmmaker and screenwriter best known for co-writing and directing films such as "Crazy, Stupid, Love" and "I Love You Phillip Morris," often in collaboration with John Requa.
  • E. Matthew Vaughn
    Matthew Vaughn is a British filmmaker and producer known for stylish, fast-paced genre movies such as "Layer Cake," "Kick-Ass," and the "Kingsman" series.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228e7247c81908dbba76199f2e93f completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.