Triple

T661017
Position Surface form Disambiguated ID Type / Status
Subject Like Water for Chocolate E11754 entity
Predicate filmAdaptationScreenwriter P15305 FINISHED
Object Laura Esquivel E19453 NE FINISHED

How this triple was built (3 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: Laura Esquivel | Statement: [Like Water for Chocolate, filmAdaptationScreenwriter, Laura Esquivel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laura Esquivel
Context triple: [Like Water for Chocolate, filmAdaptationScreenwriter, Laura Esquivel]
  • A. Laura Esquivel chosen
    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.
  • B. Isabel Allende
    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."
  • C. Julia Alvarez
    Julia Alvarez is a Dominican-American poet, novelist, and essayist best known for works like "How the García Girls Lost Their Accents" and "In the Time of the Butterflies," which explore themes of identity, exile, and cultural heritage.
  • D. Magdalena Echenique Rozas
    Magdalena Echenique Rozas was a Chilean woman best known as the mother of Sebastián Piñera, the businessman and politician who served twice as President of Chile.
  • E. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: filmAdaptationScreenwriter
Context triple: [Like Water for Chocolate, filmAdaptationScreenwriter, Laura Esquivel]
  • A. screenplayBy chosen
    Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
  • B. notableAdaptation
    Indicates that one work is a significant adaptation or reinterpretation of another work.
  • C. adaptedAs
    Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
  • D. bestAdaptedScreenplayWinner
    Indicates that the subject is the work or person that won the award for Best Adapted Screenplay in a given context or event.
  • E. academyAwardForBestWritingScreenplay
    Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
  • F. None of above.

Provenance (4 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0f55f7481909e052a25bd12d455 completed March 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc98e43881909fbc74750f4b6e3b completed March 2, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69a49d1406ec8190abf546549264c85d completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.