Triple

T20234439
Position Surface form Disambiguated ID Type / Status
Subject Private Worlds E495611 entity
Predicate hasNominee P16414 FINISHED
Object Gregory La Cava 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: Gregory La Cava | Statement: [Private Worlds, hasNominee, Gregory La Cava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregory La Cava
Context triple: [Private Worlds, hasNominee, Gregory La Cava]
  • A. Gregory La Cava chosen
    Gregory La Cava was an American film director best known for his sophisticated 1930s comedies and character-driven dramas in Hollywood’s Golden Age.
  • B. Albert Hackett
    Albert Hackett was an American playwright and screenwriter best known for co-writing classic films such as "The Thin Man" and "It's a Wonderful Life," often in collaboration with his wife Frances Goodrich.
  • C. David Merrick
    David Merrick was a prominent and prolific Broadway producer known for staging numerous hit musicals and plays in the mid-20th century.
  • D. George Marden
    George Marden is a central character in A. A. Milne’s play "Mr. Pim Passes By," portrayed as a conventional country gentleman whose orderly life is disrupted by a stranger’s news.
  • E. Jean Negulesco
    Jean Negulesco was a Romanian-American film director and screenwriter best known for his stylish Hollywood dramas and romances from the 1940s and 1950s.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67167fae88190a26ff10d698174f8 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.