Triple

T5813893
Position Surface form Disambiguated ID Type / Status
Subject Najwa Nimri E128936 entity
Predicate birthName P65 FINISHED
Object Najwa Nimri Urrutikoetxea E128936 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: Najwa Nimri Urrutikoetxea | Statement: [Najwa Nimri, birthName, Najwa Nimri Urrutikoetxea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najwa Nimri Urrutikoetxea
Context triple: [Najwa Nimri, birthName, Najwa Nimri Urrutikoetxea]
  • A. Emilia Gorriarán
    Emilia Gorriarán was the mother of Cuban revolutionary figure Camilo Cienfuegos.
  • B. Ana Navarro
    Ana Navarro is a Nicaraguan-American Republican strategist, political commentator, and television personality known for her outspoken views on U.S. politics.
  • C. Marta Curro
    Marta Curro is an American former actress best known as the first wife of stage and screen actor Jerry Orbach.
  • D. Najwa Nimri chosen
    Najwa Nimri is a Spanish actress and singer best known internationally for her roles in acclaimed series like "Money Heist" and "Vis a Vis."
  • E. Isabel Sarli
    Isabel Sarli was an iconic Argentine actress and sex symbol best known for her starring roles in erotic films of the 1950s–1970s directed by Armando Bó.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03360749481908d42fde7a74a754f completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09848dd148190aeea1b1d454b8da5 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.