Triple

T19889797
Position Surface form Disambiguated ID Type / Status
Subject Eva Perón E477997 entity
Predicate birthName P65 FINISHED
Object María Eva Duarte 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: María Eva Duarte | Statement: [Eva Perón, birthName, María Eva Duarte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: María Eva Duarte
Context triple: [Eva Perón, birthName, María Eva Duarte]
  • A. Eva Perón chosen
    Eva Perón was the influential First Lady of Argentina, renowned for her championing of labor rights and social welfare and her enduring status as a populist and cultural icon.
  • B. Agustina Castro
    Agustina Castro is a member of the Castro family of Cuba, known primarily as a sister of revolutionary figures Fidel, Raúl, and Juanita Castro.
  • C. Isabel Perón
    Isabel Perón is an Argentine politician who became the world's first female president, leading Argentina from 1974 to 1976 after the death of her husband Juan Domingo Perón.
  • D. María Mercedes Balcarce y San Martín
    María Mercedes Balcarce y San Martín was the daughter of Merceditas de San Martín and a member of the prominent family of Argentine independence leader José de San Martín.
  • E. Mirta Miller
    Mirta Miller is an Argentine actress known for her work in film and television, particularly during the 1960s and 1970s.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590ce9f48190a51c0e5ecc828a06 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.