Triple
T23125053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enemy |
E577005
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Javier Gullón |
—
|
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: Javier Gullón | Statement: [Enemy, screenwriter, Javier Gullón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Javier Gullón Context triple: [Enemy, screenwriter, Javier Gullón]
-
A.
Javier Gullón
chosen
Javier Gullón is a Spanish screenwriter best known for adapting José Saramago’s novel into the psychological thriller film "Enemy," directed by Denis Villeneuve.
-
B.
José García
José García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
-
C.
Antonio Cano
Antonio Cano is a Spanish classical guitarist and composer known for his contributions to 19th-century guitar music and pedagogy.
-
D.
Luis Tosar
Luis Tosar is a acclaimed Spanish actor known for his intense performances in films such as "Cell 211" and "Take My Eyes," which have earned him major national awards.
-
E.
Juan Antonio Gonzalo
Juan Antonio Gonzalo is a person known primarily as the love interest of the character Vicky.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.