Triple

T13988797
Position Surface form Disambiguated ID Type / Status
Subject The Sea of Grass E336512 entity
Predicate producer P490 FINISHED
Object Pandro S. Berman 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: Pandro S. Berman | Statement: [The Sea of Grass, producer, Pandro S. Berman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandro S. Berman
Context triple: [The Sea of Grass, producer, Pandro S. Berman]
  • A. Pandro S. Berman chosen
    Pandro S. Berman was a prominent American film producer of Hollywood’s classic era, known for overseeing numerous successful MGM and RKO pictures.
  • B. Sidney Buchman
    Sidney Buchman was an American screenwriter and producer best known for his work in Hollywood during the 1930s–1950s, including notable collaborations with major studios and directors.
  • C. Ely A. Landau
    Ely A. Landau was an American film and television producer best known for creating the American Film Theatre series, which adapted stage plays into feature films.
  • D. Irving Briskin
    Irving Briskin was an American film producer active during Hollywood’s studio era, known for overseeing numerous mid-budget features and genre films.
  • E. Philip Mandelker
    Philip Mandelker is a film and television producer best known for his work as an executive producer on projects such as "Something About Amelia."
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea537408190bb9d35963886803f completed April 14, 2026, 12:10 p.m.
Created at: April 9, 2026, 10:18 p.m.