Triple

T20339076
Position Surface form Disambiguated ID Type / Status
Subject White Cargo E495691 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: [White Cargo, producer, Pandro S. Berman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandro S. Berman
Context triple: [White Cargo, 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. David L. Bertman
    David L. Bertman is a film editor known for his work on movies such as the family martial-arts comedy "Three Ninjas Kick Back."
  • C. Julius R. Nasso
    Julius R. Nasso is an American film producer best known for his work on action movies, including several collaborations with Steven Seagal.
  • D. 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.
  • E. Jack N. Berkman
    Jack N. Berkman was a benefactor whose support and legacy are honored through the naming of the Berkman Klein Center for Internet & Society at Harvard University.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678342a0081908ede8006eb5506a3 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.