Triple

T5407202
Position Surface form Disambiguated ID Type / Status
Subject "Paula" E120920 entity
Predicate author P4 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: ["Paula", author, Isabel Allende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Allende
Context triple: ["Paula", author, 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. Elena Garro
    Elena Garro was a Mexican writer and playwright known for her pioneering contributions to magical realism and her critical portrayal of Mexican society and politics.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8793ab3c81909992b257d462a554 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfabe6de448190a4e0c2e537a2e045 completed March 22, 2026, 8:44 a.m.
Created at: March 20, 2026, 2:05 p.m.