Triple

T2834375
Position Surface form Disambiguated ID Type / Status
Subject Elvis (2022 film) E62314 entity
Predicate screenwriter P2831 FINISHED
Object Craig Pearce E286391 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: Craig Pearce | Statement: [Elvis (2022 film), screenwriter, Craig Pearce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Pearce
Context triple: [Elvis (2022 film), screenwriter, Craig Pearce]
  • A. Craig Pearce chosen
    Craig Pearce is an Australian screenwriter best known for his long-time collaboration with director Baz Luhrmann on films such as "Strictly Ballroom," "Romeo + Juliet," and "Moulin Rouge!"
  • B. David Pegg
    David Pegg was an English footballer who played as a left winger for Manchester United's famed "Busby Babes" before his life was tragically cut short in the Munich air disaster of 1958.
  • C. Craig Chambers
    Craig Chambers is a computer scientist known for his work on object-oriented language design and implementation, particularly the Cecil and Diesel languages.
  • D. Mark Isham
    Mark Isham is an American composer and musician known for his atmospheric film scores and work in jazz and electronic music.
  • E. Eric Pearson
    Eric Pearson is an American screenwriter best known for his work on Marvel Cinematic Universe films, including writing the screenplay for "Thor: Ragnarok."
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec18b808190aedae2ed11d53b15 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03133de8c8190942c727b89c81b28 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 10:01 p.m.