Triple

T22093099
Position Surface form Disambiguated ID Type / Status
Subject Orphan (2009 film) E545957 entity
Predicate producer P490 FINISHED
Object Leonardo DiCaprio 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: Leonardo DiCaprio | Statement: [Orphan (2009 film), producer, Leonardo DiCaprio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardo DiCaprio
Context triple: [Orphan (2009 film), producer, Leonardo DiCaprio]
  • A. Leonardo DiCaprio chosen
    Leonardo DiCaprio is an Academy Award–winning American actor and environmental activist known for his roles in films like Titanic, Inception, and The Revenant, as well as his prominent climate advocacy.
  • B. Adrien Brody
    Adrien Brody is an American actor best known for his Academy Award–winning performance in "The Pianist" and his diverse roles in both independent films and major Hollywood productions.
  • C. Brad Pitt
    Brad Pitt is an American actor and film producer renowned for his leading roles in major Hollywood films and for winning multiple Academy Awards.
  • D. Roger Winslet
    Roger Winslet is the father of acclaimed English actress Kate Winslet.
  • E. Edward Norton
    Edward Norton is an acclaimed American actor and filmmaker known for his intense, nuanced performances in films such as "Fight Club," "American History X," and "Birdman."
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.