Triple

T1655451
Position Surface form Disambiguated ID Type / Status
Subject Rafael Garza Gutiérrez E35787 entity
Predicate familyName P18 FINISHED
Object Gutiérrez
Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
 E195978 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: Gutiérrez | Statement: [Rafael Garza Gutiérrez, familyName, Gutiérrez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gutiérrez
Context triple: [Rafael Garza Gutiérrez, familyName, Gutiérrez]
  • A. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • B. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • C. García
    García is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
  • D. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • E. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • 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: Gutiérrez
Triple: [Rafael Garza Gutiérrez, familyName, Gutiérrez]
Generated description
Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gutiérrez
Target entity description: Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • A. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • B. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • C. García
    García is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
  • D. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • E. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0c59f608190984dd3bdf695acc3 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a0510481908ed8c36c9ae9a1a0 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada26343988190bd067ca97186eb96 completed March 8, 2026, 4:22 p.m.
Created at: March 4, 2026, 7:29 p.m.