Triple
T23264360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Race with the Devil |
E582104
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tony de Zarraga |
—
|
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: Tony de Zarraga | Statement: [Race with the Devil, editedBy, Tony de Zarraga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony de Zarraga Context triple: [Race with the Devil, editedBy, Tony de Zarraga]
-
A.
Tony de Zarraga
chosen
Tony de Zarraga is a film editor best known for his work on the 1984 romantic drama "Bolero."
-
B.
James Royo
James Royo is a music producer best known for his work on Ty Dolla $ign’s album "Beach House 3."
-
C.
Andy LaPlegua
Andy LaPlegua is a Norwegian musician and producer best known as the founder and frontman of the industrial/electronic band Combichrist.
-
D.
Tony Aguilar
Tony Aguilar was a Mexican actor and singer known for his roles in classic ranchera films and his influential contributions to Mexican popular music.
-
E.
José Zúñiga
José Zúñiga is a Honduran-American character actor known for his numerous supporting roles in film and television, often portraying law enforcement or military figures.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194cb76c48190869915cd93b44fcc |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.