Triple

T16618847
Position Surface form Disambiguated ID Type / Status
Subject Rosaura De la Garza E403765 entity
Predicate hasChild P369 FINISHED
Object Esperanza Muzquiz NE NERFINISHED

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: Esperanza Muzquiz | Statement: [Rosaura De la Garza, hasChild, Esperanza Muzquiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esperanza Muzquiz
Context triple: [Rosaura De la Garza, hasChild, Esperanza Muzquiz]
  • A. Rosaura De la Garza
    Rosaura De la Garza is a central character in Laura Esquivel’s novel "Like Water for Chocolate," known as the dutiful yet conflicted daughter who embodies traditional expectations and rivalry within the De la Garza family.
  • B. Soledad Alvear
    Soledad Alvear is a Chilean lawyer and politician who has served in several high-level government positions, including as foreign minister, and is a prominent leader within Chile’s centrist political sphere.
  • C. Gertrudis De la Garza
    Gertrudis De la Garza is a passionate and rebellious character from Laura Esquivel’s novel "Like Water for Chocolate," known for defying her strict family and societal expectations.
  • D. Rosa Salazar
    Rosa Salazar is an American actress best known for her motion-capture performance in the cyberpunk action film "Alita: Battle Angel" and roles in projects like the "Maze Runner" series and the Netflix miniseries "Brand New Cherry Flavor."
  • E. Carmen Leyva
    Carmen Leyva is an actress known for her role in the independent drama film "Goodbye Solo."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Esperanza Muzquiz
Target entity description: Esperanza Muzquiz is a fictional character known as the daughter of Rosaura De la Garza in Laura Esquivel’s novel "Like Water for Chocolate."
  • A. Rosaura De la Garza
    Rosaura De la Garza is a central character in Laura Esquivel’s novel "Like Water for Chocolate," known as the dutiful yet conflicted daughter who embodies traditional expectations and rivalry within the De la Garza family.
  • B. Soledad Alvear
    Soledad Alvear is a Chilean lawyer and politician who has served in several high-level government positions, including as foreign minister, and is a prominent leader within Chile’s centrist political sphere.
  • C. Gertrudis De la Garza
    Gertrudis De la Garza is a passionate and rebellious character from Laura Esquivel’s novel "Like Water for Chocolate," known for defying her strict family and societal expectations.
  • D. Rosa Salazar
    Rosa Salazar is an American actress best known for her motion-capture performance in the cyberpunk action film "Alita: Battle Angel" and roles in projects like the "Maze Runner" series and the Netflix miniseries "Brand New Cherry Flavor."
  • E. Carmen Leyva
    Carmen Leyva is an actress known for her role in the independent drama film "Goodbye Solo."
  • F. None of above. chosen

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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754bc4cc8190a586732fc6507b40 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:17 a.m.