Triple
T19453458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Public |
E486673
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Juan Miguel Azpiroz |
—
|
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: Juan Miguel Azpiroz | Statement: [The Public, cinematographyBy, Juan Miguel Azpiroz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Miguel Azpiroz Context triple: [The Public, cinematographyBy, Juan Miguel Azpiroz]
-
A.
Juan Miguel Azpiroz
chosen
Juan Miguel Azpiroz is a cinematographer best known for his work on the film "The Way."
-
B.
Luis Aizpeolea
Luis Aizpeolea is a composer known for creating the musical score for the horror film "The New Daughter."
-
C.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
-
D.
Javier Casalla
Javier Casalla is an Argentine violinist and composer best known as a core member of the neo-tango collective Bajofondo.
-
E.
Alonso Oyarzun
Alonso Oyarzun is an actor best known for his role in the Norwegian football club drama series "Roar."
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.