Triple

T14989783
Position Surface form Disambiguated ID Type / Status
Subject Michael Clayton (film score) E373801 entity
Predicate associatedWith P37 FINISHED
Object Tony Gilroy E201162 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: Tony Gilroy | Statement: [Michael Clayton (film score), associatedWith, Tony Gilroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Gilroy
Context triple: [Michael Clayton (film score), associatedWith, Tony Gilroy]
  • A. Tony Gilroy chosen
    Tony Gilroy is an American filmmaker and screenwriter best known for writing the Bourne film series and directing the acclaimed thriller "Michael Clayton."
  • B. Zak Penn
    Zak Penn is an American screenwriter and director known for his work on major science fiction and superhero films such as "The Avengers," "X2," and "Ready Player One."
  • C. Christopher McQuarrie
    Christopher McQuarrie is an American filmmaker and screenwriter best known for writing "The Usual Suspects" and directing several "Mission: Impossible" films.
  • D. David Koepp
    David Koepp is an American screenwriter and director best known for writing major Hollywood films such as Jurassic Park, Mission: Impossible, and Spider-Man.
  • E. Steve Kloves
    Steve Kloves is an American screenwriter best known for adapting most of the Harry Potter novels into the successful film 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969683348190bb4688f24227af88 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.