Triple

T21429170
Position Surface form Disambiguated ID Type / Status
Subject Godínez E528637 entity
Predicate hasVariant P455 FINISHED
Object Godinez
Godinez is a Spanish-language surname of Hispanic origin, often borne by individuals and families across Latin America and the United States.
 E1484207 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: Godinez | Statement: [Godínez, hasVariant, Godinez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Godinez
Context triple: [Godínez, hasVariant, Godinez]
  • A. Giménez
    Giménez is a Spanish-language surname commonly found in Spain and Latin American countries, borne by various notable figures in sports, arts, and public life.
  • B. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • C. Sanchezes
    Sanchezes is the standard English plural form of the surname "Sanchez," used to refer to multiple people with that last name.
  • D. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • E. Pomares
    Pomares is a small village in the municipality of Arganil in central Portugal, known for its rural setting and traditional Portuguese character.
  • 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: Godinez
Triple: [Godínez, hasVariant, Godinez]
Generated description
Godinez is a Spanish-language surname of Hispanic origin, often borne by individuals and families across Latin America and the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Godinez
Target entity description: Godinez is a Spanish-language surname of Hispanic origin, often borne by individuals and families across Latin America and the United States.
  • A. Giménez
    Giménez is a Spanish-language surname commonly found in Spain and Latin American countries, borne by various notable figures in sports, arts, and public life.
  • B. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • C. Sanchezes
    Sanchezes is the standard English plural form of the surname "Sanchez," used to refer to multiple people with that last name.
  • D. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • E. Pomares
    Pomares is a small village in the municipality of Arganil in central Portugal, known for its rural setting and traditional Portuguese character.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813db52c8190ac933bc6ec4dbf77 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2aa56b081909ddfc07b7b5fd60e completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c3a036408190a759223303268183 completed May 17, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_6a09c49aa5b881908ac2e920684a9fa2 completed May 17, 2026, 1:37 p.m.
Created at: April 16, 2026, 5:49 p.m.