Triple

T11992817
Position Surface form Disambiguated ID Type / Status
Subject Jorge Vergara E285451 entity
Predicate familyName P18 FINISHED
Object Vergara
Vergara is a Spanish-language surname borne by various notable individuals across fields such as sports, entertainment, and business.
 E958581 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: Vergara | Statement: [Jorge Vergara, familyName, Vergara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vergara
Context triple: [Jorge Vergara, familyName, Vergara]
  • A. Vergara
    Vergara is a town in the Basque Country of northern Spain, historically notable as the birthplace of the conquistador Domingo Martínez de Irala.
  • B. Vergara
    Vergara is a small Colombian town and municipality located in the Gualivá Province of the Cundinamarca Department.
  • C. Sandoval
    Sandoval is a Spanish-language surname of Iberian origin borne by numerous notable figures in sports, politics, and the arts.
  • D. Encinas Cruz
    Encinas Cruz is the compound Spanish surname shared by actress Penélope Cruz and Javier Bardem’s daughter, Luna.
  • E. Garces
    Garces is a Spanish-origin surname borne by various notable individuals across fields such as entertainment, sports, and public service.
  • 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: Vergara
Triple: [Jorge Vergara, familyName, Vergara]
Generated description
Vergara is a Spanish-language surname borne by various notable individuals across fields such as sports, entertainment, and business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vergara
Target entity description: Vergara is a Spanish-language surname borne by various notable individuals across fields such as sports, entertainment, and business.
  • A. Vergara
    Vergara is a small Colombian town and municipality located in the Gualivá Province of the Cundinamarca Department.
  • B. Vergara
    Vergara is a town in the Basque Country of northern Spain, historically notable as the birthplace of the conquistador Domingo Martínez de Irala.
  • C. Sandoval
    Sandoval is a Spanish-language surname of Iberian origin borne by numerous notable figures in sports, politics, and the arts.
  • D. Encinas Cruz
    Encinas Cruz is the compound Spanish surname shared by actress Penélope Cruz and Javier Bardem’s daughter, Luna.
  • E. Garces
    Garces is a Spanish-origin surname borne by various notable individuals across fields such as entertainment, sports, and public service.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4726696dc8190bf2a7aa43cb08b19 completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7d4ef081908f7f87d90c00d9ed completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47de8c9e48190af01918c9cd94c7d completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.