Triple

T19283793
Position Surface form Disambiguated ID Type / Status
Subject Aurora Bernárdez E482255 entity
Predicate familyName P18 FINISHED
Object Bernárdez
Bernárdez is a Spanish-language surname of likely Galician or broader Iberian origin.
 E1368334 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: Bernárdez | Statement: [Aurora Bernárdez, familyName, Bernárdez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bernárdez
Context triple: [Aurora Bernárdez, familyName, Bernárdez]
  • A. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • B. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • C. Jiménez
    Jiménez is a Spanish surname commonly associated with individuals of Iberian origin.
  • D. Jiménez
    Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
  • E. García Barcha
    García Barcha is the compound surname most prominently associated with the family of Nobel Prize–winning Colombian writer Gabriel García Márquez, carried by his sons including film editor Gonzalo García Barcha.
  • 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: Bernárdez
Triple: [Aurora Bernárdez, familyName, Bernárdez]
Generated description
Bernárdez is a Spanish-language surname of likely Galician or broader Iberian origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bernárdez
Target entity description: Bernárdez is a Spanish-language surname of likely Galician or broader Iberian origin.
  • A. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • B. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • C. Jiménez
    Jiménez is a Spanish surname commonly associated with individuals of Iberian origin.
  • D. Jiménez
    Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
  • E. García Barcha
    García Barcha is the compound surname most prominently associated with the family of Nobel Prize–winning Colombian writer Gabriel García Márquez, carried by his sons including film editor Gonzalo García Barcha.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc0099148190bfec8e8eadc72406 completed April 20, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e7e2b7881909e3461175f8b3c8c completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f8b626c819083a31123cd6035cf completed May 15, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a071018f61881908ace460b83dac186 completed May 15, 2026, 12:22 p.m.
Created at: April 10, 2026, 1:30 p.m.