Triple

T8639881
Position Surface form Disambiguated ID Type / Status
Subject Gone Girl E204618 entity
Predicate cinematographyBy P1953 FINISHED
Object Jeff Cronenweth E254654 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: Jeff Cronenweth | Statement: [Gone Girl, cinematographyBy, Jeff Cronenweth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Cronenweth
Context triple: [Gone Girl, cinematographyBy, Jeff Cronenweth]
  • A. Jeff Cronenweth chosen
    Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
  • B. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • C. John Seitz
    John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
  • D. Kevin Reynolds
    Kevin Reynolds is an American film director best known for helming movies such as "Robin Hood: Prince of Thieves" and "Waterworld."
  • E. Paul Darrow
    Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef35ea7108190b164f9c3715be4f5 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:28 p.m.