Triple

T8960338
Position Surface form Disambiguated ID Type / Status
Subject Paola Núñez E213984 entity
Predicate givenName P17 FINISHED
Object Paola
Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
 E770365 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: Paola | Statement: [Paola Núñez, givenName, Paola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paola
Context triple: [Paola Núñez, givenName, Paola]
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • D. Rafaela
    Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
  • E. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • 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: Paola
Triple: [Paola Núñez, givenName, Paola]
Generated description
Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paola
Target entity description: Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • D. Rafaela
    Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
  • E. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • 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_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.