Triple

T10243531
Position Surface form Disambiguated ID Type / Status
Subject Pérez de Guzmán E243657 entity
Predicate surnameComponent P37098 FINISHED
Object Guzmán E261478 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: Guzmán | Statement: [Pérez de Guzmán, surnameComponent, Guzmán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guzmán
Context triple: [Pérez de Guzmán, surnameComponent, Guzmán]
  • A. Gómez
    Gómez is a common Spanish surname widely found in Spain and Latin American countries.
  • B. Nicolás Bravo
    Nicolás Bravo was a prominent Mexican military leader and politician who played a key role in the country’s War of Independence and later served multiple times as president of Mexico.
  • C. de Guzmán chosen
    de Guzmán is a Spanish noble family name historically associated with Saint Dominic, founder of the Dominican Order.
  • D. Artemio Cruz
    Artemio Cruz is the complex, morally ambiguous Mexican tycoon whose life and inner conflicts are explored in Carlos Fuentes’s landmark novel "The Death of Artemio Cruz."
  • E. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfbfa26c8190b536655d33112ddf completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7936ce4819087f07df2c7a76282 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:25 a.m.