Triple
T5898591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Antonio Bayona |
E131163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bayona |
E103013
|
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: Bayona | Statement: [Juan Antonio Bayona, familyName, Bayona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayona Context triple: [Juan Antonio Bayona, familyName, Bayona]
-
A.
Bayona
chosen
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
B.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
-
C.
Bordeira
Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
-
D.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
E.
Bandol
Bandol is a renowned coastal town and wine appellation in southeastern France, famous for its robust Mourvèdre-based rosé and red wines.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f7b3f48190a499d43f8ffb2fa7 |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b15df86481908b59717b9de63655 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.