Triple

T5118880
Position Surface form Disambiguated ID Type / Status
Subject Dr. John Brown E115407 entity
Predicate contrastsWith P278 FINISHED
Object Pedro Muzquiz E102337 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: Pedro Muzquiz | Statement: [Dr. John Brown, contrastsWith, Pedro Muzquiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pedro Muzquiz
Context triple: [Dr. John Brown, contrastsWith, Pedro Muzquiz]
  • A. Pedro Muzquiz chosen
    Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
  • B. José Gutiérrez
    José Gutiérrez was the architect responsible for designing the historic Hospicio Cabañas, a prominent neoclassical complex in Guadalajara, Mexico.
  • C. Juan Aldama
    Juan Aldama was a Mexican insurgent and key conspirator in the early stages of the Mexican War of Independence.
  • D. Miguel Miramón
    Miguel Miramón was a Mexican conservative general and briefly a de facto president during the mid-19th century conflicts that culminated in the Reform War.
  • E. Isidro Fabela
    Isidro Fabela is a municipality in the State of Mexico, Mexico, named after the prominent Mexican diplomat, writer, and politician Isidro Fabela.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cf6590819081488b739efae32c completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfba1e755081909649e0dd8c4d2270 completed March 22, 2026, 9:45 a.m.
Created at: March 20, 2026, 1:42 p.m.