Triple

T9788354
Position Surface form Disambiguated ID Type / Status
Subject 80th Academy Awards E237543 entity
Predicate bestSupportingActressFilm P8120 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: [80th Academy Awards, bestSupportingActressFilm, Michael Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Clayton
Context triple: [80th Academy Awards, bestSupportingActressFilm, 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. Grant Marshall
    Grant Marshall is a British musician and producer best known as a founding member of the influential trip hop group Massive Attack.
  • D. 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.
  • E. Alex De Rakoff
    Alex De Rakoff is a British film and music video director known for his work on high-profile pop videos and feature films.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2131164819099e8644e40a3cab6 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c427cb2c81909fce8e1958ab3282 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.