Triple

T6871723
Position Surface form Disambiguated ID Type / Status
Subject Nicolás Frías E158562 entity
Predicate mother P120 FINISHED
Object Isabel Allende E18842 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: Isabel Allende | Statement: [Nicolás Frías, mother, Isabel Allende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Allende
Context triple: [Nicolás Frías, mother, Isabel Allende]
  • A. Isabel Allende chosen
    Isabel Allende is a Chilean-American writer renowned for her novels blending magical realism with political and personal history, such as "The House of the Spirits."
  • B. Patricia Llosa
    Patricia Llosa is the longtime wife of Nobel Prize–winning Peruvian writer Mario Vargas Llosa and a member of the prominent Llosa family.
  • C. Patricia Esquivel
    Patricia Esquivel is a notable individual who bears the surname Esquivel, recognized in contexts where the name has gained particular prominence.
  • D. Laura Esquivel
    Laura Esquivel is a Mexican novelist and screenwriter best known for her magical realist novel "Like Water for Chocolate," which blends romance, family saga, and culinary tradition.
  • E. Cristina García
    Cristina García is a Cuban American novelist and journalist best known for her debut novel "Dreaming in Cuban," which explores themes of exile, identity, and family across generations.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8ac04e08190aa8011c0ade9d509 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742a841548190abd706ea1efd622f completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.