Triple

T8240132
Position Surface form Disambiguated ID Type / Status
Subject Dolores Huerta E192513 entity
Predicate familyName P18 FINISHED
Object Huerta
Huerta is a Spanish-language surname borne by numerous individuals, including notable figures in politics, activism, and the arts.
 E721022 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: Huerta | Statement: [Dolores Huerta, familyName, Huerta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huerta
Context triple: [Dolores Huerta, familyName, Huerta]
  • A. Huertas
    Huertas is a historic and lively neighborhood in central Madrid known for its literary heritage, traditional taverns, and vibrant nightlife.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. La Serna
    La Serna is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Fuenlabrada area in the Community of Madrid, Spain.
  • D. 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.
  • E. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • 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: Huerta
Triple: [Dolores Huerta, familyName, Huerta]
Generated description
Huerta is a Spanish-language surname borne by numerous individuals, including notable figures in politics, activism, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huerta
Target entity description: Huerta is a Spanish-language surname borne by numerous individuals, including notable figures in politics, activism, and the arts.
  • A. Huertas
    Huertas is a historic and lively neighborhood in central Madrid known for its literary heritage, traditional taverns, and vibrant nightlife.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. La Serna
    La Serna is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Fuenlabrada area in the Community of Madrid, Spain.
  • D. 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.
  • E. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783cce5c8190bf116704d2923ade completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd350f57d48190ae2f24d136bb3eee completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a47f3c81909491e9b0316c32f0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ecc8d68819099932b1ecefc0d36 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:47 p.m.