Triple

T12455286
Position Surface form Disambiguated ID Type / Status
Subject Carlos Valderrama E297640 entity
Predicate nickname P55 FINISHED
Object El Pibe
El Pibe is the iconic nickname of Colombian football legend Carlos Valderrama, renowned for his playmaking skills and distinctive blond afro.
 E983721 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: El Pibe | Statement: [Carlos Valderrama, nickname, El Pibe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Pibe
Context triple: [Carlos Valderrama, nickname, El Pibe]
  • A. Sergio
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • B. El Cholo
    El Cholo is the widely known moniker of Argentine football coach and former midfielder Diego Simeone, famed for his intense, hard-working, and combative style.
  • C. Zeca
    Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
  • D. Carrasco
    Carrasco is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
  • E. Néstor
    Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • 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: El Pibe
Triple: [Carlos Valderrama, nickname, El Pibe]
Generated description
El Pibe is the iconic nickname of Colombian football legend Carlos Valderrama, renowned for his playmaking skills and distinctive blond afro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Pibe
Target entity description: El Pibe is the iconic nickname of Colombian football legend Carlos Valderrama, renowned for his playmaking skills and distinctive blond afro.
  • A. Sergio
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • B. El Cholo
    El Cholo is the widely known moniker of Argentine football coach and former midfielder Diego Simeone, famed for his intense, hard-working, and combative style.
  • C. Zeca
    Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
  • D. Carrasco
    Carrasco is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
  • E. Néstor
    Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da2a3cc81908de5a85257627fe2 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f190c788190adceaab8117d52a6 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6405f9f6481909bcc3b2e3deeae7e completed May 2, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:56 p.m.