Triple

T14655729
Position Surface form Disambiguated ID Type / Status
Subject Julieta E344101 entity
Predicate castMember P1668 FINISHED
Object Darío Grandinetti E540946 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: Darío Grandinetti | Statement: [Julieta, castMember, Darío Grandinetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darío Grandinetti
Context triple: [Julieta, castMember, Darío Grandinetti]
  • A. Darío Grandinetti chosen
    Darío Grandinetti is an Argentine actor known for his acclaimed performances in film and television, including a leading role in Pedro Almodóvar’s drama "Talk to Her."
  • B. Alejandro Basteri
    Alejandro Basteri is a Mexican businessman best known as the younger brother of renowned singer Luis Miguel.
  • C. Gustavo Adrianzén
    Gustavo Adrianzén is a Peruvian politician and lawyer who has held high-level government positions, including serving as Peru’s Minister of Defense.
  • D. Ricardo La Volpe
    Ricardo La Volpe is an Argentine football manager and former goalkeeper best known for coaching the Mexico national team and influencing modern Mexican football tactics.
  • E. Esteban Tossutti
    Esteban Tossutti is an Argentine entrepreneur best known for co-founding Flybondi, one of Argentina’s first low-cost airlines.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cdc54a881909d9ea43c26b9d5ef completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:27 a.m.