Triple

T12833973
Position Surface form Disambiguated ID Type / Status
Subject The Divorcee (1930) E306857 entity
Predicate producer P490 FINISHED
Object Hunt Stromberg E168219 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: Hunt Stromberg | Statement: [The Divorcee (1930), producer, Hunt Stromberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt Stromberg
Context triple: [The Divorcee (1930), producer, Hunt Stromberg]
  • A. Hunt Stromberg chosen
    Hunt Stromberg was a prominent American film producer of Hollywood’s Golden Age, best known for his work at MGM on numerous classic films of the 1930s and 1940s.
  • B. Frank Nissen
    Frank Nissen is an American animator and film director known for his work on Disney animated features and direct-to-video sequels.
  • C. Karl Struss
    Karl Struss was an influential American cinematographer and photographer known for his innovative visual style in early Hollywood cinema, including work on landmark films such as "The Great Dictator."
  • D. Frank Seiberling
    Frank Seiberling was an American industrialist best known for founding the Goodyear Tire & Rubber Company, which became one of the world’s leading tire manufacturers.
  • E. Donald Nordley
    Donald Nordley is a fictional character from the 1953 adventure film "Mogambo," which is set against the backdrop of an African safari and romantic entanglements.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af4f56108190b75dbf9bb144e94a completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:34 p.m.