Triple

T20200747
Position Surface form Disambiguated ID Type / Status
Subject Murder at the Vanities E493209 entity
Predicate director P255 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: [Murder at the Vanities, director, Mitchell Leisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Leisen
Context triple: [Murder at the Vanities, director, 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 Lichtenstein
    Mitchell Lichtenstein is an American actor and filmmaker known for roles in independent cinema and for directing the cult horror-comedy film "Teeth."
  • C. 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."
  • D. Michael Leibert
    Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
  • E. Mitchell Lewis
    Mitchell Lewis was an American film actor of the silent and early sound era, known for his rugged character roles in numerous dramas and adventure films.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.