Triple

T20449245
Position Surface form Disambiguated ID Type / Status
Subject The Monkey's Mask E501602 entity
Predicate editedBy P1954 FINISHED
Object Dany Cooper NE NERFINISHED

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: Dany Cooper | Statement: [The Monkey's Mask, editedBy, Dany Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dany Cooper
Context triple: [The Monkey's Mask, editedBy, Dany Cooper]
  • A. Dany Cooper chosen
    Dany Cooper is an Australian film editor known for her work on numerous acclaimed feature films and television projects.
  • B. Andy Cooper
    Andy Cooper was an American Negro league baseball pitcher and later manager, renowned for his standout career in the 1920s and 1930s and his eventual induction into the Baseball Hall of Fame.
  • C. Denis Coop
    Denis Coop was a British cinematographer known for his work on mid-20th-century films, including the influential 1963 drama "This Sporting Life."
  • D. Chris Coyne
    Chris Coyne is an American entrepreneur and software developer best known as a co-founder of the online dating platform OkCupid.
  • E. Kyle Cooper
    Kyle Cooper is a composer recognized for his award-winning work in video game music, including earning top honors at The Game Awards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfffae4819086c727f4143c2737 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.