Triple

T8841193
Position Surface form Disambiguated ID Type / Status
Subject Oasis E210393 entity
Predicate producer P490 FINISHED
Object Neto Peña
Neto Peña is a Mexican rapper and songwriter known for his work in the Latin urban and hip-hop scene.
 E772824 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: Neto Peña | Statement: [Oasis, producer, Neto Peña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neto Peña
Context triple: [Oasis, producer, Neto Peña]
  • A. Mario Laserna Pinzón
    Mario Laserna Pinzón was a Colombian philosopher, educator, and public intellectual best known for co-founding and shaping the prestigious Universidad de los Andes in Bogotá.
  • B. Santos Suárez
    Santos Suárez is a traditional residential neighborhood in Havana, Cuba, known for its early 20th-century architecture and quiet, middle-class character.
  • C. Fernando Aguirre
    Fernando Aguirre is a character in the 1952 biographical film "Viva Zapata!" about the Mexican revolutionary leader Emiliano Zapata.
  • D. Nicolás Bobadilla
    Nicolás Bobadilla was a 16th-century Spanish priest and one of the original companions of Ignatius of Loyola who helped establish the early Jesuit order.
  • E. Díaz de la Peña
    Díaz de la Peña is the surname of Narcisse Virgilio Díaz de la Peña, a 19th-century French painter associated with the Barbizon school.
  • 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: Neto Peña
Triple: [Oasis, producer, Neto Peña]
Generated description
Neto Peña is a Mexican rapper and songwriter known for his work in the Latin urban and hip-hop scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neto Peña
Target entity description: Neto Peña is a Mexican rapper and songwriter known for his work in the Latin urban and hip-hop scene.
  • A. Mario Laserna Pinzón
    Mario Laserna Pinzón was a Colombian philosopher, educator, and public intellectual best known for co-founding and shaping the prestigious Universidad de los Andes in Bogotá.
  • B. Santos Suárez
    Santos Suárez is a traditional residential neighborhood in Havana, Cuba, known for its early 20th-century architecture and quiet, middle-class character.
  • C. Fernando Aguirre
    Fernando Aguirre is a character in the 1952 biographical film "Viva Zapata!" about the Mexican revolutionary leader Emiliano Zapata.
  • D. Nicolás Bobadilla
    Nicolás Bobadilla was a 16th-century Spanish priest and one of the original companions of Ignatius of Loyola who helped establish the early Jesuit order.
  • E. Díaz de la Peña
    Díaz de la Peña is the surname of Narcisse Virgilio Díaz de la Peña, a 19th-century French painter associated with the Barbizon school.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60876c6c8190b1b490e447e1cf4b completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb7d89f081908a98c8b0be4f8910 completed April 3, 2026, 3:23 p.m.
NEDg Description generation batch_69cfdc6b047c8190a1add15d9b48321c completed April 3, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69cfdcecebe48190a2ede4c8400b3b42 completed April 3, 2026, 3:29 p.m.
Created at: March 30, 2026, 6:48 p.m.