Triple

T18352177
Position Surface form Disambiguated ID Type / Status
Subject Cano E439691 entity
Predicate hasNotableBearer P458 FINISHED
Object Álvaro Cano
Álvaro Cano is a Spanish Baroque painter and sculptor known for his religious works and contributions to 17th-century art.
 E1385410 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: Álvaro Cano | Statement: [Cano, hasNotableBearer, Álvaro Cano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Álvaro Cano
Context triple: [Cano, hasNotableBearer, Álvaro Cano]
  • A. Andrés Cano
    Andrés Cano is a Colombian politician and public figure known for his involvement in regional governance and civic affairs.
  • B. Raúl Cano
    Raúl Cano is a former Major League Baseball pitcher who played briefly for the Houston Astros in the early 1970s.
  • C. Pablo Cano
    Pablo Cano is a Cuban-born American artist best known for his elaborate marionette sculptures and performance-based installations.
  • D. Miguel Cano
    Miguel Cano was the father of the renowned Spanish Baroque painter, sculptor, and architect Alonso Cano.
  • E. Ricardo Cano
    Ricardo Cano is a Spanish former professional tennis player who competed on the international circuit during the 1970s and 1980s.
  • 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: Álvaro Cano
Triple: [Cano, hasNotableBearer, Álvaro Cano]
Generated description
Álvaro Cano is a Spanish Baroque painter and sculptor known for his religious works and contributions to 17th-century art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Álvaro Cano
Target entity description: Álvaro Cano is a Spanish Baroque painter and sculptor known for his religious works and contributions to 17th-century art.
  • A. Andrés Cano
    Andrés Cano is a Colombian politician and public figure known for his involvement in regional governance and civic affairs.
  • B. Raúl Cano
    Raúl Cano is a former Major League Baseball pitcher who played briefly for the Houston Astros in the early 1970s.
  • C. Pablo Cano
    Pablo Cano is a Cuban-born American artist best known for his elaborate marionette sculptures and performance-based installations.
  • D. Miguel Cano
    Miguel Cano was the father of the renowned Spanish Baroque painter, sculptor, and architect Alonso Cano.
  • E. Ricardo Cano
    Ricardo Cano is a Spanish former professional tennis player who competed on the international circuit during the 1970s and 1980s.
  • 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_6a075ef474d48190a781d81f02ec4886 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a076088e1008190bc21398053607d24 completed May 15, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0760e165b88190bf8d7712b073cdd8 completed May 15, 2026, 6:07 p.m.
Created at: April 10, 2026, 10:37 a.m.