Triple

T7592853
Position Surface form Disambiguated ID Type / Status
Subject License to Kill E179781 entity
Predicate producer P490 FINISHED
Object Albert R. Broccoli E101253 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: Albert R. Broccoli | Statement: [License to Kill, producer, Albert R. Broccoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert R. Broccoli
Context triple: [License to Kill, producer, Albert R. Broccoli]
  • A. Albert R. Broccoli chosen
    Albert R. Broccoli was an American film producer best known for co-producing the long-running James Bond film series.
  • B. Dana Broccoli
    Dana Broccoli was an American actress and film producer best known for her influential role in the James Bond film franchise alongside her husband Albert R. Broccoli.
  • C. Robert Stigwood
    Robert Stigwood was an influential music and film impresario and manager, best known for guiding the careers of Cream and the Bee Gees and producing hit films like Saturday Night Fever and Grease.
  • D. Harry Saltzman
    Harry Saltzman was a Canadian-born film producer best known as the co-producer and co-creator of the James Bond film series.
  • E. Dino De Laurentiis
    Dino De Laurentiis was an influential Italian film producer known for his prolific international career and for backing major epics, genre films, and auteur projects from the mid-20th century onward.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86197fe0881908307a411cabdca7f completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.