Triple
T18352169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cano |
E439691
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Antonio Cano
Antonio Cano is a Spanish classical guitarist and composer known for his contributions to 19th-century guitar music and pedagogy.
|
E1319233
|
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: Antonio Cano | Statement: [Cano, hasNotableBearer, Antonio Cano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonio Cano Context triple: [Cano, hasNotableBearer, Antonio Cano]
-
A.
Javier Gullón
Javier Gullón is a Spanish screenwriter best known for adapting José Saramago’s novel into the psychological thriller film "Enemy," directed by Denis Villeneuve.
-
B.
José García
José García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
-
C.
Luis Tosar
Luis Tosar is a acclaimed Spanish actor known for his intense performances in films such as "Cell 211" and "Take My Eyes," which have earned him major national awards.
-
D.
Juan Antonio Gonzalo
Juan Antonio Gonzalo is a person known primarily as the love interest of the character Vicky.
-
E.
Antonio García
Antonio García is a common Spanish personal name shared by numerous individuals across fields such as sports, politics, arts, and academia.
- 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: Antonio Cano Triple: [Cano, hasNotableBearer, Antonio Cano]
Generated description
Antonio Cano is a Spanish classical guitarist and composer known for his contributions to 19th-century guitar music and pedagogy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antonio Cano Target entity description: Antonio Cano is a Spanish classical guitarist and composer known for his contributions to 19th-century guitar music and pedagogy.
-
A.
Javier Gullón
Javier Gullón is a Spanish screenwriter best known for adapting José Saramago’s novel into the psychological thriller film "Enemy," directed by Denis Villeneuve.
-
B.
José García
José García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
-
C.
Luis Tosar
Luis Tosar is a acclaimed Spanish actor known for his intense performances in films such as "Cell 211" and "Take My Eyes," which have earned him major national awards.
-
D.
Juan Antonio Gonzalo
Juan Antonio Gonzalo is a person known primarily as the love interest of the character Vicky.
-
E.
Antonio García
Antonio García is a common Spanish personal name shared by numerous individuals across fields such as sports, politics, arts, and academia.
- 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_6a03cc2b4b3c81909ff81c7861e0ddba |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03ccd2c23881909c200be266dab873 |
completed | May 13, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03cd535cf08190a5dfc9118be68e17 |
completed | May 13, 2026, 1:01 a.m. |
Created at: April 10, 2026, 10:37 a.m.