Triple

T13017480
Position Surface form Disambiguated ID Type / Status
Subject Álvaro de Zúñiga y Guzmán E322590 entity
Predicate familyName P18 FINISHED
Object Zúñiga
Zúñiga is a Spanish noble surname historically associated with prominent aristocratic families and titles in Spain.
 E1017597 NE FINISHED

How this triple was built (4 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: Zúñiga | Statement: [Álvaro de Zúñiga y Guzmán, familyName, Zúñiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zúñiga
Context triple: [Álvaro de Zúñiga y Guzmán, familyName, Zúñiga]
  • A. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • B. Núñez
    Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
  • C. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • D. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • E. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zúñiga
Triple: [Álvaro de Zúñiga y Guzmán, familyName, Zúñiga]
Generated description
Zúñiga is a Spanish noble surname historically associated with prominent aristocratic families and titles in Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zúñiga
Target entity description: Zúñiga is a Spanish noble surname historically associated with prominent aristocratic families and titles in Spain.
  • A. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • B. Núñez
    Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
  • C. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • D. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • E. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • F. None of above. chosen

Provenance (5 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc98e10819091d71198bca1ac12 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6ce6278e081908864fba1db23ada0 completed May 3, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69f6cf547b188190b24c51e06a3b4d3c completed May 3, 2026, 4:30 a.m.
Created at: April 9, 2026, 8:51 p.m.