Triple

T5589000
Position Surface form Disambiguated ID Type / Status
Subject The Color of Money E146828 entity
Predicate producer P490 FINISHED
Object Barbara De Fina E461960 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: Barbara De Fina | Statement: [The Color of Money, producer, Barbara De Fina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara De Fina
Context triple: [The Color of Money, producer, Barbara De Fina]
  • A. Barbara De Fina chosen
    Barbara De Fina is an American film producer best known for her frequent collaborations with director Martin Scorsese on acclaimed films throughout the 1980s and 1990s.
  • B. Denise Di Novi
    Denise Di Novi is an American film producer known for her work on numerous popular films, including several Tim Burton projects and acclaimed literary adaptations.
  • C. Sylvia Abate
    Sylvia Abate is known primarily as the wife of American special effects makeup artist and filmmaker Rick Baker.
  • D. Claudia Sarne
    Claudia Sarne is a composer and musician known for her atmospheric film and television scores, often created in collaboration with her brothers Atticus and Leopold Ross.
  • E. Anita Barone
    Anita Barone is an American actress known for her work in television sitcoms and comedy series, including roles on shows like Friends and The War at Home.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209ff5d88190843b6d134390ab71 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059fc908c819087eb9b81fedffb4f completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:38 p.m.