Triple
T9112966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óscar Faura |
E218647
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | J. A. Bayona |
E16130
|
NE FINISHED |
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: J. A. Bayona | Statement: [Óscar Faura, collaboratedWith, J. A. Bayona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. A. Bayona Context triple: [Óscar Faura, collaboratedWith, J. A. Bayona]
-
A.
J. A. Bayona
chosen
J. A. Bayona is a Spanish film director known for visually striking, emotionally intense works such as "The Orphanage," "The Impossible," and "A Monster Calls."
-
B.
Carlos Saldanha
Carlos Saldanha is a Brazilian animator and film director best known for co-directing the Ice Age films and directing the Rio animated franchise.
-
C.
Gareth Edwards
Gareth Edwards is a British filmmaker known for directing large-scale science fiction and monster films such as "Monsters," "Godzilla" (2014), and "Rogue One: A Star Wars Story."
-
D.
Gareth Edwards
Gareth Edwards is a Welsh former rugby union scrum-half widely regarded as one of the greatest rugby players of all time.
-
E.
Javier Aguirresarobe
Javier Aguirresarobe is an acclaimed Spanish cinematographer known for his work on both European and Hollywood films, including major genre and franchise productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.