Triple

T23163232
Position Surface form Disambiguated ID Type / Status
Subject Chará E578642 entity
Predicate notableBearer P458 FINISHED
Object Luis Felipe Chará
Luis Felipe Chará is a Colombian former professional footballer known for his career as a midfielder in South American club football.
E1584305 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: Luis Felipe Chará | Statement: [Chará, notableBearer, Luis Felipe Chará]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Felipe Chará
Context triple: [Chará, notableBearer, Luis Felipe Chará]
  • A. Raúl Carrasco
    Raúl Carrasco is a Spanish professional bodybuilder known for competing in international bodybuilding championships.
  • B. Nicolás Lodeiro
    Nicolás Lodeiro is a Uruguayan attacking midfielder known for his playmaking, leadership, and key role in helping Seattle Sounders FC win multiple MLS Cup titles.
  • C. Miguel Almirón
    Miguel Almirón is a Paraguayan attacking midfielder known for his creativity, pace, and key role in Major League Soccer before moving to the English Premier League.
  • D. Diego Carrasco
    Diego Carrasco is a Spanish flamenco singer and guitarist known for blending traditional flamenco with contemporary musical styles.
  • E. Fabián Vena
    Fabián Vena is an Argentine actor known for his work in television, film, and theater.
  • 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: Luis Felipe Chará
Triple: [Chará, notableBearer, Luis Felipe Chará]
Generated description
Luis Felipe Chará is a Colombian former professional footballer known for his career as a midfielder in South American club football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luis Felipe Chará
Target entity description: Luis Felipe Chará is a Colombian former professional footballer known for his career as a midfielder in South American club football.
  • A. Raúl Carrasco
    Raúl Carrasco is a Spanish professional bodybuilder known for competing in international bodybuilding championships.
  • B. Nicolás Lodeiro
    Nicolás Lodeiro is a Uruguayan attacking midfielder known for his playmaking, leadership, and key role in helping Seattle Sounders FC win multiple MLS Cup titles.
  • C. Miguel Almirón
    Miguel Almirón is a Paraguayan attacking midfielder known for his creativity, pace, and key role in Major League Soccer before moving to the English Premier League.
  • D. Diego Carrasco
    Diego Carrasco is a Spanish flamenco singer and guitarist known for blending traditional flamenco with contemporary musical styles.
  • E. Fabián Vena
    Fabián Vena is an Argentine actor known for his work in television, film, and theater.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f29be30819091e18551044a98f3 completed April 29, 2026, 4:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5daffdc4819092f5750e3ee2d402 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c61c10b908190a5c3eeaedcb2e8cb completed May 19, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a0c62f9fba081908d822630e09d3bee completed May 19, 2026, 1:17 p.m.
Created at: April 17, 2026, 4:02 p.m.