Triple

T10599862
Position Surface form Disambiguated ID Type / Status
Subject John Huarte E275713 entity
Predicate familyName P18 FINISHED
Object Huarte
Huarte is a Spanish surname most notably borne by John Huarte, an American football quarterback who won the 1964 Heisman Trophy.
 E874540 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: Huarte | Statement: [John Huarte, familyName, Huarte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huarte
Context triple: [John Huarte, familyName, Huarte]
  • A. Huerta
    Huerta is a Spanish-language surname borne by numerous individuals, including notable figures in politics, activism, and the arts.
  • B. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • C. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • 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: Huarte
Triple: [John Huarte, familyName, Huarte]
Generated description
Huarte is a Spanish surname most notably borne by John Huarte, an American football quarterback who won the 1964 Heisman Trophy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huarte
Target entity description: Huarte is a Spanish surname most notably borne by John Huarte, an American football quarterback who won the 1964 Heisman Trophy.
  • A. Huerta
    Huerta is a Spanish-language surname borne by numerous individuals, including notable figures in politics, activism, and the arts.
  • B. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • C. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded45a3c81908cca736bf360e2f2 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e9c1a7c8190a91ad479518e411f completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d96145d1ec8190b3228733159e1364 completed April 10, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69d9623cf54081908abcdc88e13d5176 completed April 10, 2026, 8:49 p.m.
Created at: April 8, 2026, 7:30 p.m.