Triple

T17891085
Position Surface form Disambiguated ID Type / Status
Subject Albert Romolo Broccoli E447316 entity
Predicate spouse P13 FINISHED
Object Dana Natol 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: Dana Natol | Statement: [Albert Romolo Broccoli, spouse, Dana Natol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Natol
Context triple: [Albert Romolo Broccoli, spouse, Dana Natol]
  • A. Dana Natol chosen
    Dana Natol was an American literary agent and film producer best known as the wife and professional partner of James Bond film producer Albert R. "Cubby" Broccoli.
  • B. Dana Gonzales
    Dana Gonzales is an American cinematographer known for his work on films and television series, including the disaster thriller "Greenland."
  • C. Dana Lyon
    Dana Lyon was a writer whose work served as the basis for the film "The House on Telegraph Hill."
  • D. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • E. Dana York
    Dana York is an American woman best known as the widow of rock musician Tom Petty, whom she married in 2001 and remained with until his death.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7948888190b59ddc7061d13e84 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.