Triple

T20080742
Position Surface form Disambiguated ID Type / Status
Subject Chino Darín E499991 entity
Predicate notableRelative P367 FINISHED
Object Ricardo Darín 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: Ricardo Darín | Statement: [Chino Darín, notableRelative, Ricardo Darín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ricardo Darín
Context triple: [Chino Darín, notableRelative, Ricardo Darín]
  • A. Ricardo Darín chosen
    Ricardo Darín is an acclaimed Argentine actor renowned for his powerful performances in films such as "The Secret in Their Eyes," which helped cement his status as one of Latin America's leading film stars.
  • B. Guillermo Francella
    Guillermo Francella is an acclaimed Argentine actor and comedian known for his versatile performances in film, television, and theater.
  • C. Chino Darín
    Chino Darín is an Argentine actor known for his work in film and television, and as the son of acclaimed actor Ricardo Darín.
  • D. Juan Antonio Gonzalo
    Juan Antonio Gonzalo is a person known primarily as the love interest of the character Vicky.
  • E. Gonzalo Facio
    Gonzalo Facio was a prominent Costa Rican lawyer, diplomat, and politician who served multiple terms as his country’s foreign minister and as ambassador to the United States.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.