Triple

T7069761
Position Surface form Disambiguated ID Type / Status
Subject Dany Garcia E164655 entity
Predicate name P16 FINISHED
Object Dany Garcia E164655 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: Dany Garcia | Statement: [Dany Garcia, name, Dany Garcia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dany Garcia
Context triple: [Dany Garcia, name, Dany Garcia]
  • A. Dany Garcia chosen
    Dany Garcia is an American businesswoman, film producer, and talent manager known for co-founding Seven Bucks Productions and producing major Hollywood films alongside Dwayne Johnson.
  • B. Tim Garcia
    Tim Garcia is a musician best known as a member of the American glam metal band Ratt.
  • C. Curt Bisquera
    Curt Bisquera is an American session and touring drummer known for his work with major rock and pop artists, including Tom Petty and the Heartbreakers.
  • D. Danny García
    Danny García is an American professional boxer and former world champion known for his success in the light welterweight and welterweight divisions.
  • E. Frank Dominguez
    Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4aa82108190bacd5584c1c78999 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8a1d788190b9ad25d6e6c460f7 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:39 p.m.