Triple

T5575394
Position Surface form Disambiguated ID Type / Status
Subject Elisa Godínez Gómez E146304 entity
Predicate familyName P18 FINISHED
Object Godínez
Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
 E528637 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: Godínez | Statement: [Elisa Godínez Gómez, familyName, Godínez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Godínez
Context triple: [Elisa Godínez Gómez, familyName, Godínez]
  • A. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • B. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • C. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • D. Gutiérrez
    Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • E. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • 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: Godínez
Triple: [Elisa Godínez Gómez, familyName, Godínez]
Generated description
Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Godínez
Target entity description: Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
  • A. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • B. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • C. Garza
    Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
  • D. Gutiérrez
    Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • E. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02067e8d8819090a006cb266da5fe completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02855acac8190bd00219aa9647e98 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0366f37f0819097ca1b23b8ebecc2 completed March 22, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:37 p.m.