Triple

T15525082
Position Surface form Disambiguated ID Type / Status
Subject Robinson Canó E369062 entity
Predicate familyName P18 FINISHED
Object Canó
Canó is a Spanish-language surname most prominently associated with Dominican former Major League Baseball star Robinson Canó.
 E1161865 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: Canó | Statement: [Robinson Canó, familyName, Canó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canó
Context triple: [Robinson Canó, familyName, Canó]
  • A. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • B. Canoa Quebrada
    Canoa Quebrada is a famous Brazilian beach village known for its dramatic red cliffs, dunes, and vibrant nightlife on the coast of Ceará.
  • C. Riveiro
    Riveiro is a surname variant of Ribeiro, a common Portuguese and Galician family name.
  • D. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • E. Río
    Río is a central character in the Spanish television series "La Casa de Papel" ("Money Heist"), known as a young, talented hacker and member of the Professor's heist crew.
  • 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: Canó
Triple: [Robinson Canó, familyName, Canó]
Generated description
Canó is a Spanish-language surname most prominently associated with Dominican former Major League Baseball star Robinson Canó.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canó
Target entity description: Canó is a Spanish-language surname most prominently associated with Dominican former Major League Baseball star Robinson Canó.
  • A. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • B. Canoa Quebrada
    Canoa Quebrada is a famous Brazilian beach village known for its dramatic red cliffs, dunes, and vibrant nightlife on the coast of Ceará.
  • C. Riveiro
    Riveiro is a surname variant of Ribeiro, a common Portuguese and Galician family name.
  • D. Gualaquiza
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • E. Río
    Río is a central character in the Spanish television series "La Casa de Papel" ("Money Heist"), known as a young, talented hacker and member of the Professor's heist crew.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3e5643088190a9b001ef815ddd3a completed May 9, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f4456f88190b7fc9b853b0155e4 completed May 9, 2026, 2:05 p.m.
Created at: April 10, 2026, 4:05 a.m.