Triple
T18352167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cano |
E439691
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Miguel Cano |
—
|
NE NERFINISHED |
How this triple was built (2 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: Miguel Cano | Statement: [Cano, hasNotableBearer, Miguel Cano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel Cano Context triple: [Cano, hasNotableBearer, Miguel Cano]
-
A.
Miguel Cano
chosen
Miguel Cano was the father of the renowned Spanish Baroque painter, sculptor, and architect Alonso Cano.
-
B.
Jesús Cano
Jesús Cano is a Spanish footballer known for playing as a midfielder in the Spanish football league system.
-
C.
Miguel Lemos
Miguel Lemos was a Brazilian philosopher and leading positivist who co-founded and led the Brazilian Positivist Church, promoting Auguste Comte’s ideas in Brazil.
-
D.
Alonso Martínez
Alonso Martínez is a Madrid Metro station and major transport interchange located near the Plaza de Alonso Martínez in central Madrid.
-
E.
Miguel Cabanellas
Miguel Cabanellas was a Spanish Army general who played a leading role in the early stages of the Spanish Civil War as one of the senior officers supporting the Nationalist uprising.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 10:37 a.m.