Triple

T20552473
Position Surface form Disambiguated ID Type / Status
Subject Narcos: Mexico E504629 entity
Predicate leadActor P1507 FINISHED
Object José María Yazpik 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: José María Yazpik | Statement: [Narcos: Mexico, leadActor, José María Yazpik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José María Yazpik
Context triple: [Narcos: Mexico, leadActor, José María Yazpik]
  • A. José María Yazpik chosen
    José María Yazpik is a Mexican actor known for his work in film and television, including prominent roles in both Mexican cinema and international productions.
  • B. Adolfo Aristarain
    Adolfo Aristarain is an acclaimed Argentine film director and screenwriter known for his socially and politically charged dramas that gained prominence in Latin American cinema from the late 20th century onward.
  • C. Ernesto Tamariz
    Ernesto Tamariz was a prominent Mexican sculptor known for his monumental public works and contributions to 20th-century Mexican commemorative art.
  • D. José De Doná
    José De Doná is an academic researcher known for his contributions to control systems and engineering, including collaborative work with Graham C. Goodwin.
  • E. Luis Zahera
    Luis Zahera is a Spanish actor known for his intense character roles in film and television, for which he has earned critical acclaim and major national awards.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d98c348190ac516bc2df59d878 completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.