Triple

T21534587
Position Surface form Disambiguated ID Type / Status
Subject Ana María Matute E531318 entity
Predicate givenName P17 FINISHED
Object Ana María 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: Ana María | Statement: [Ana María Matute, givenName, Ana María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana María
Context triple: [Ana María Matute, givenName, Ana María]
  • A. Ana María chosen
    Ana María is the given name of Ana María Huarte de Iturbide, who was the Empress consort of Mexico as the wife of Emperor Agustín de Iturbide.
  • B. María del Carmen
    María del Carmen is a Spanish-language feminine given name commonly used in Hispanic cultures, often in honor of Our Lady of Mount Carmel.
  • C. María Mercedes
    María Mercedes is a popular 1990s Mexican telenovela starring Thalía as a poor young woman whose life changes dramatically after an unexpected inheritance.
  • D. María del Pilar
    María del Pilar is the full given name of Spanish actress and activist Pilar Bardem, known for her extensive work in film and television and as the matriarch of the Bardem acting family.
  • E. María Dolores
    María Dolores is a Spanish feminine given name commonly associated with Catholic devotion to Our Lady of Sorrows and widely used in Spanish-speaking countries.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0b9888819094e424d33c14d5d0 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.