Triple

T18445987
Position Surface form Disambiguated ID Type / Status
Subject Rose Sommers E450658 entity
Predicate workAuthor P4244 FINISHED
Object Isabel Allende 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: Isabel Allende | Statement: [Rose Sommers, workAuthor, Isabel Allende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Allende
Context triple: [Rose Sommers, workAuthor, 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. Verónica Kast
    Verónica Kast is a Chilean psychologist and academic, known for her work in family and systemic therapy and as a member of the prominent Kast family in Chilean public life.
  • C. 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.
  • D. Patricia Esquivel
    Patricia Esquivel is a notable individual who bears the surname Esquivel, recognized in contexts where the name has gained particular prominence.
  • E. 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.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c15127881909d23b6dd45d7ccc9 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.