Triple

T8960339
Position Surface form Disambiguated ID Type / Status
Subject Paola Núñez E213984 entity
Predicate familyName P18 FINISHED
Object Núñez
Núñez is a Spanish-language surname commonly found in Spain and Latin American countries.
 E712509 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: [Paola Núñez, familyName, Núñez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Núñez
Context triple: [Paola Núñez, familyName, Núñez]
  • A. Núñez
    Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
  • B. Núñez Vela
    Núñez Vela is a Spanish surname most notably associated with Blasco Núñez Vela, the first viceroy of Peru in the 16th century.
  • C. 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.
  • D. Néstor
    Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • E. 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.
  • 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: [Paola Núñez, familyName, Núñez]
Generated description
Núñez is a Spanish-language surname commonly found in Spain and Latin American countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Núñez
Target entity description: Núñez is a Spanish-language surname commonly found in Spain and Latin American countries.
  • A. Núñez chosen
    Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
  • B. Núñez Vela
    Núñez Vela is a Spanish surname most notably associated with Blasco Núñez Vela, the first viceroy of Peru in the 16th century.
  • C. 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.
  • D. Néstor
    Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • E. 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.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6746fbf88190aba658b4b9c2e4b0 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94ab868819080ff3fc7532a3874 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcd33936c8190bcbb0861e330b895 completed April 3, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69cfcdd61ff8819097ca9662aa42cb4a completed April 3, 2026, 2:25 p.m.
Created at: March 30, 2026, 7 p.m.