Triple

T15681985
Position Surface form Disambiguated ID Type / Status
Subject Michael O’Keefe E377599 entity
Predicate notableWork P4 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: [Michael O’Keefe, notableWork, Michael Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Clayton
Context triple: [Michael O’Keefe, notableWork, 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. 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.
  • D. Grant Marshall
    Grant Marshall is a British musician and producer best known as a founding member of the influential trip hop group Massive Attack.
  • E. Tom Wambsgans
    Tom Wambsgans is a central character in the television series "Succession," known as Shiv Roy’s ambitious, often obsequious husband who navigates the ruthless corporate and family politics of Waystar Royco.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee2a33c81908fcd120ca670b309 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.