Triple
T18352166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cano |
E439691
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Luis 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: Luis Cano | Statement: [Cano, hasNotableBearer, Luis Cano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Cano Context triple: [Cano, hasNotableBearer, Luis Cano]
-
A.
Luis Cano
chosen
Luis Cano is a member of the historically notable Cano family, a lineage recognized for its enduring legacy and influence.
-
B.
Alfredo Alcón
Alfredo Alcón was a renowned Argentine film, theater, and television actor widely regarded as one of the greatest performers in the history of Argentine cinema.
-
C.
Manuel Garcia-Rulfo
Manuel Garcia-Rulfo is a Mexican actor known for his roles in both Hollywood and Mexican cinema, including ensemble casts in major films and prominent parts in television series.
-
D.
Arturo Ripstein
Arturo Ripstein is a renowned Mexican film director known for his dark, existential dramas and his influential role in Latin American cinema.
-
E.
Alfonso Arau
Alfonso Arau is a Mexican filmmaker and actor best known internationally for directing the acclaimed romantic drama "Like Water for Chocolate."
- 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.