Triple
T21351989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óscar Jaenada |
E526506
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Camarón de la Isla |
—
|
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: Camarón de la Isla | Statement: [Óscar Jaenada, portrayed, Camarón de la Isla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camarón de la Isla Context triple: [Óscar Jaenada, portrayed, Camarón de la Isla]
-
A.
Camarón
chosen
Camarón is a Spanish biographical film about legendary flamenco singer Camarón de la Isla.
-
B.
Joaquín Sabina
Joaquín Sabina is a Spanish singer-songwriter and poet renowned for his raspy voice, literate lyrics, and influential role in contemporary Spanish popular music.
-
C.
Jorge Rojo
Jorge Rojo is a notable individual distinguished in his field, recognized as a prominent bearer of the surname Rojo.
-
D.
Paco Grande
Paco Grande is a Spanish photographer and documentary filmmaker best known for his early marriage to American actress Jessica Lange.
-
E.
Juan de Arjona
Juan de Arjona was a historical figure bearing the Spanish surname Arjona, likely associated with Spain or Spanish-speaking regions.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad33b3388190b9bc8dd5343e5a86 |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:04 p.m.