Triple

T11773309
Position Surface form Disambiguated ID Type / Status
Subject The Devil's Advocate E279954 entity
Predicate producer P490 FINISHED
Object Anne Kopelson E501384 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: Anne Kopelson | Statement: [The Devil's Advocate, producer, Anne Kopelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Kopelson
Context triple: [The Devil's Advocate, producer, Anne Kopelson]
  • A. Anne Kopelson chosen
    Anne Kopelson is a film producer known for her work on major Hollywood action movies, including the 1996 thriller "Eraser."
  • B. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • C. Cassandra Kopelson
    Cassandra Kopelson is a central character on the medical drama series "Emily Owens, M.D.," known as Emily's competitive and often antagonistic fellow surgical intern.
  • D. Alexandra Papenfus
    Alexandra Papenfus is a person after whom another individual named Alexandra was named, suggesting she holds personal or familial significance to the namer.
  • E. Eleanor Zellman
    Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f668479b188190ae720e77fbf6897f completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:41 p.m.