Triple

T10765152
Position Surface form Disambiguated ID Type / Status
Subject Sofia Vergara E253934 entity
Predicate givenName P17 FINISHED
Object Sofía
Sofía is the given name of Colombian-American actress and model Sofía Vergara, best known for her role on the television series "Modern Family."
 E884164 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: Sofía | Statement: [Sofia Vergara, givenName, Sofía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sofía
Context triple: [Sofia Vergara, givenName, Sofía]
  • A. Sofía
    Sofía is a central fictional character in Alejo Carpentier’s novel "El siglo de las luces," embodying the personal and ideological upheavals of the Caribbean during the era of the French Revolution.
  • B. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • C. Belen
    Belen is a small city in central New Mexico known as a regional transportation hub and bedroom community for the Albuquerque metropolitan area.
  • D. Sofia
    Sofia is a strong-willed, outspoken woman in Alice Walker’s "The Color Purple," known for her resilience and defiance against oppression.
  • E. Sofia
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • 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: Sofía
Triple: [Sofia Vergara, givenName, Sofía]
Generated description
Sofía is the given name of Colombian-American actress and model Sofía Vergara, best known for her role on the television series "Modern Family."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sofía
Target entity description: Sofía is the given name of Colombian-American actress and model Sofía Vergara, best known for her role on the television series "Modern Family."
  • A. Sofía
    Sofía is a central fictional character in Alejo Carpentier’s novel "El siglo de las luces," embodying the personal and ideological upheavals of the Caribbean during the era of the French Revolution.
  • B. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • C. Belen
    Belen is a small city in central New Mexico known as a regional transportation hub and bedroom community for the Albuquerque metropolitan area.
  • D. Sofia
    Sofia is a strong-willed, outspoken woman in Alice Walker’s "The Color Purple," known for her resilience and defiance against oppression.
  • E. Sofia
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a5d5248190badfc5a8ab0215d6 completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de235fe7748190ba004f889da389ff completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271ee56c81908d2f690f31c2d2db completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2e05fdb08190b880f9158b14118b completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:16 p.m.