Triple

T2834491
Position Surface form Disambiguated ID Type / Status
Subject The Color Purple (1985 film) E62316 entity
Predicate editedBy P1954 FINISHED
Object Michael Kahn E255464 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: Michael Kahn | Statement: [The Color Purple (1985 film), editedBy, Michael Kahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kahn
Context triple: [The Color Purple (1985 film), editedBy, Michael Kahn]
  • A. Michael Kahn chosen
    Michael Kahn is an acclaimed American film editor best known for his long-time collaboration with director Steven Spielberg on numerous major films.
  • B. Ian Kahn
    Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
  • C. Marty Katz
    Marty Katz is a film producer known for his work on movies such as the World War II drama "The Great Raid."
  • D. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • E. Bruce Kimmel
    Bruce Kimmel is an American writer, director, and Grammy-nominated record producer best known for his work in musical theatre and film, as well as for producing numerous cast albums.
  • 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_69b3bb6216ac8190950d789de6e36aa6 completed March 13, 2026, 7:23 a.m.
Created at: March 6, 2026, 10:01 p.m.