Triple

T8240250
Position Surface form Disambiguated ID Type / Status
Subject Néstor Kirchner E192516 entity
Predicate givenName P17 FINISHED
Object Néstor
Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
 E729221 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: Néstor | Statement: [Néstor Kirchner, givenName, Néstor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Néstor
Context triple: [Néstor Kirchner, givenName, Néstor]
  • A. Héctor Julio Páride Bernabó
    Héctor Julio Páride Bernabó, better known as Carybé, was an Argentine-Brazilian painter, illustrator, and sculptor renowned for his vivid depictions of Afro-Brazilian culture and the city of Salvador, Bahia.
  • B. Sebastián
    Sebastián is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Raúl
    Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Víctor Raúl
    Víctor Raúl Haya de la Torre was a prominent Peruvian political leader, founder of the American Popular Revolutionary Alliance (APRA), and a key figure in 20th-century Latin American politics.
  • 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: Néstor
Triple: [Néstor Kirchner, givenName, Néstor]
Generated description
Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Néstor
Target entity description: Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • A. Héctor Julio Páride Bernabó
    Héctor Julio Páride Bernabó, better known as Carybé, was an Argentine-Brazilian painter, illustrator, and sculptor renowned for his vivid depictions of Afro-Brazilian culture and the city of Salvador, Bahia.
  • B. Sebastián
    Sebastián is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Raúl
    Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Víctor Raúl
    Víctor Raúl Haya de la Torre was a prominent Peruvian political leader, founder of the American Popular Revolutionary Alliance (APRA), and a key figure in 20th-century Latin American politics.
  • 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_69cde74c4e6c8190a426139f71689a3e completed April 2, 2026, 3:49 a.m.
NEDg Description generation batch_69cdeb1fa7308190810b1fcc2184374a completed April 2, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_69cdec3081d88190ad0699f9072d3fc7 completed April 2, 2026, 4:10 a.m.
Created at: March 30, 2026, 5:47 p.m.