Triple
T20080513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Física o química |
E499986
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Cabano |
—
|
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: Cabano | Statement: [Física o química, notableCharacter, Cabano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabano Context triple: [Física o química, notableCharacter, Cabano]
-
A.
Cabano
chosen
Cabano is a central teenage character from the Spanish TV series "Física o química," known for his popularity, complex relationships, and significant personal growth throughout the show.
-
B.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
C.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
D.
Bocanegra
Bocanegra is a Spanish-origin surname borne by various notable figures, including Mexican politician and brief interim president José María Bocanegra.
-
E.
Camané
Camané is a renowned contemporary Portuguese fado singer celebrated for his expressive voice and for helping to revitalize the genre in the late 20th century.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66557c19c8190b511857490bbd423 |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.