Triple

T23044985
Position Surface form Disambiguated ID Type / Status
Subject Ernst Fegté E573851 entity
Predicate notableCollaboration P8554 FINISHED
Object Mitchell Leisen 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: Mitchell Leisen | Statement: [Ernst Fegté, notableCollaboration, Mitchell Leisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Leisen
Context triple: [Ernst Fegté, notableCollaboration, Mitchell Leisen]
  • A. Mitchell Leisen chosen
    Mitchell Leisen was an American film director, art director, and costume designer known for his stylish Hollywood productions from the 1930s and 1940s.
  • B. Mitchell Brower
    Mitchell Brower is a film producer known for his work on the movie "The Getaway."
  • C. Mitchell Lichtenstein
    Mitchell Lichtenstein is an American actor and filmmaker known for roles in independent cinema and for directing the cult horror-comedy film "Teeth."
  • D. Mitchell Laurance
    Mitchell Laurance is an American actor known for his character roles in film and television, including a part in the thriller "The Hand That Rocks the Cradle."
  • E. Michael Leibert
    Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1851811e08190a5af6a112687327e completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.