Triple

T14657397
Position Surface form Disambiguated ID Type / Status
Subject Tom McCarthy E344144 entity
Predicate actedIn P1668 FINISHED
Object Michael Clayton E82127 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: Michael Clayton | Statement: [Tom McCarthy, actedIn, Michael Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Clayton
Context triple: [Tom McCarthy, actedIn, Michael Clayton]
  • A. Michael Clayton chosen
    Michael Clayton is a 2007 legal thriller film starring George Clooney as a law firm's "fixer" who confronts a major corporate corruption scandal.
  • B. Billy Flynn
    Billy Flynn is the charismatic, manipulative defense attorney character from the musical "Chicago."
  • C. Danny Collins
    Danny Collins is a 2015 comedy-drama film about an aging rock star who tries to change his life after discovering a long-lost letter from John Lennon.
  • D. Citizen Cohn
    Citizen Cohn is a 1986 television film that dramatizes the controversial life and career of lawyer Roy Cohn, a key figure in the McCarthy era.
  • E. Grant Marshall
    Grant Marshall is a British musician and producer best known as a founding member of the influential trip hop group Massive Attack.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.