Triple
T21919449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Après vous... |
E541262
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | José Garcia |
—
|
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: José Garcia | Statement: [Après vous..., stars, José Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Garcia Context triple: [Après vous..., stars, José Garcia]
-
A.
José García
chosen
José García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
-
B.
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.
-
C.
Juan Antonio Gonzalo
Juan Antonio Gonzalo is a person known primarily as the love interest of the character Vicky.
-
D.
Antonio Cano
Antonio Cano is a Spanish classical guitarist and composer known for his contributions to 19th-century guitar music and pedagogy.
-
E.
Fernando Fernán Gómez
Fernando Fernán Gómez was a prominent Spanish actor, director, and writer, renowned as one of the key figures of 20th-century Spanish cinema and theater.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12339d88881909e726c9b081bd177 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:44 p.m.