Triple

T18352170
Position Surface form Disambiguated ID Type / Status
Subject Cano E439691 entity
Predicate hasNotableBearer P458 FINISHED
Object Javier Cano
Javier Cano is a notable individual who has gained recognition in his field, sharing the surname Cano.
E1328424 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: Javier Cano | Statement: [Cano, hasNotableBearer, Javier Cano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javier Cano
Context triple: [Cano, hasNotableBearer, Javier Cano]
  • A. Manuel Cano
    Manuel Cano was a renowned Spanish flamenco guitarist and musicologist known for his influential performances, recordings, and scholarly work on flamenco music.
  • B. Juan Cano
    Juan Cano is a Spanish-language personal name shared by multiple individuals, most commonly associated with figures from Spain and Latin America in fields such as sports, politics, and the arts.
  • C. Óscar Rodríguez
    Óscar Rodríguez is a Paraguayan politician who serves as the mayor of Asunción, the capital city of Paraguay.
  • D. Pedro Cabrera
    Pedro Cabrera is a personal name shared by multiple individuals, most commonly associated with Spanish-speaking figures in fields such as sports, politics, and the arts.
  • E. Javier Álvarez
    Javier Álvarez is a Colombian football manager known for his tenure leading top-flight clubs such as Independiente Medellín.
  • 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: Javier Cano
Triple: [Cano, hasNotableBearer, Javier Cano]
Generated description
Javier Cano is a notable individual who has gained recognition in his field, sharing the surname Cano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Javier Cano
Target entity description: Javier Cano is a notable individual who has gained recognition in his field, sharing the surname Cano.
  • A. Manuel Cano
    Manuel Cano was a renowned Spanish flamenco guitarist and musicologist known for his influential performances, recordings, and scholarly work on flamenco music.
  • B. Juan Cano
    Juan Cano is a Spanish-language personal name shared by multiple individuals, most commonly associated with figures from Spain and Latin America in fields such as sports, politics, and the arts.
  • C. Óscar Rodríguez
    Óscar Rodríguez is a Paraguayan politician who serves as the mayor of Asunción, the capital city of Paraguay.
  • D. Pedro Cabrera
    Pedro Cabrera is a personal name shared by multiple individuals, most commonly associated with Spanish-speaking figures in fields such as sports, politics, and the arts.
  • E. Javier Álvarez
    Javier Álvarez is a Colombian football manager known for his tenure leading top-flight clubs such as Independiente Medellín.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f8f07c8190a1506d4a327369d0 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04915b8d0081908ced951c9ee86e75 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04920be21881908f8aac148aa0ae4d completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492a5f9148190911747f8d50540e3 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 10:37 a.m.