Triple

T7975495
Position Surface form Disambiguated ID Type / Status
Subject Jeanette Núñez E185433 entity
Predicate familyName P18 FINISHED
Object Núñez
Núñez is a Spanish-origin surname commonly found in Spanish-speaking countries and among people of Hispanic heritage.
 E405500 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: Núñez | Statement: [Jeanette Núñez, familyName, Núñez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Núñez
Context triple: [Jeanette Núñez, familyName, Núñez]
  • A. Núñez Vela
    Núñez Vela is a Spanish surname most notably associated with Blasco Núñez Vela, the first viceroy of Peru in the 16th century.
  • B. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • C. Maldonado
    Maldonado is a coastal city in southeastern Uruguay that serves as the capital of Maldonado Department and a key urban center near the resort town of Punta del Este.
  • D. Carrasco
    Carrasco is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
  • E. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • 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: Núñez
Triple: [Jeanette Núñez, familyName, Núñez]
Generated description
Núñez is a Spanish-origin surname commonly found in Spanish-speaking countries and among people of Hispanic heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Núñez
Target entity description: Núñez is a Spanish-origin surname commonly found in Spanish-speaking countries and among people of Hispanic heritage.
  • A. Núñez Vela chosen
    Núñez Vela is a Spanish surname most notably associated with Blasco Núñez Vela, the first viceroy of Peru in the 16th century.
  • B. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • C. Maldonado
    Maldonado is a coastal city in southeastern Uruguay that serves as the capital of Maldonado Department and a key urban center near the resort town of Punta del Este.
  • D. Carrasco
    Carrasco is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
  • E. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • F. None of above.

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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf42a508190bb661fce34ec0151 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b72c508190b0ad8acf975c1527 completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc68634dc88190bc9b9e0598929d4d completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc6946aa5481908d682957b818a3e9 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:14 p.m.