Triple

T10544733
Position Surface form Disambiguated ID Type / Status
Subject Michelle Rodriguez E248787 entity
Predicate notableWork P4 FINISHED
Object Machete E73006 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: Machete | Statement: [Michelle Rodriguez, notableWork, Machete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machete
Context triple: [Michelle Rodriguez, notableWork, Machete]
  • A. Machete chosen
    Machete is a 2010 action-exploitation film directed by Robert Rodriguez, featuring Danny Trejo as a former Mexican federale seeking revenge against corrupt politicians and criminals.
  • B. Machete Kills
    Machete Kills is a 2013 action-exploitation film directed by Robert Rodriguez, serving as a sequel to "Machete" and continuing the over-the-top adventures of the titular ex-Federale.
  • C. Machetá
    Machetá is a municipality and town in the Cundinamarca Department of Colombia, located in the Andean highlands northeast of Bogotá.
  • D. Matador
    "Matador" is a song by the American rock band Spirit, known for blending psychedelic rock with jazz and progressive influences.
  • E. Matador
    Matador is a 1986 Spanish psychological thriller film directed by Pedro Almodóvar that explores themes of desire, death, and obsession.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d519128cac819086c93f3bab854ac2 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9343c5c308190952596e5254b6a65 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:33 p.m.