Triple

T2644813
Position Surface form Disambiguated ID Type / Status
Subject The Tree of Life E62958 entity
Predicate producer P490 FINISHED
Object Brad Pitt E42243 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: Brad Pitt | Statement: [The Tree of Life, producer, Brad Pitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brad Pitt
Context triple: [The Tree of Life, producer, Brad Pitt]
  • A. Brad Pitt chosen
    Brad Pitt is an American actor and film producer renowned for his leading roles in major Hollywood films and for winning multiple Academy Awards.
  • B. Sean Penn
    Sean Penn is an acclaimed American actor and filmmaker known for his intense, character-driven performances and multiple major awards, including two Academy Awards for Best Actor.
  • C. Russell Crowe
    Russell Crowe is an Academy Award–winning New Zealand–born actor renowned for intense, transformative performances in films such as Gladiator and A Beautiful Mind.
  • D. 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."
  • E. Leonardo DiCaprio
    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.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c50d108190b716dd51c34d3759 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.