Triple

T9322457
Position Surface form Disambiguated ID Type / Status
Subject The Golden Bed E224302 entity
Predicate artDirectionBy P7743 FINISHED
Object Mitchell Leisen E37378 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: Mitchell Leisen | Statement: [The Golden Bed, artDirectionBy, Mitchell Leisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Leisen
Context triple: [The Golden Bed, artDirectionBy, 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. Michael Leibert
    Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
  • D. 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.
  • E. Mitchell Brownstein
    Mitchell Brownstein is a Canadian municipal politician who serves as the mayor of Côte-Saint-Luc, a city on the Island of Montreal in Quebec.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f466b08190884abdc56501a0d8 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7d70b1c8190a254f58efc370624 completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:38 p.m.