Triple
T20094387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destino |
E496358
|
entity |
| Predicate | contributor |
P1993
|
FINISHED |
| Object | Armando Domínguez |
—
|
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: Armando Domínguez | Statement: [Destino, contributor, Armando Domínguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armando Domínguez Context triple: [Destino, contributor, Armando Domínguez]
-
A.
Armando Dominguez
chosen
Armando Dominguez was a Mexican composer known for his work in film music, including contributing the score to the experimental Disney–Dalí short film "Destino."
-
B.
Armando Villarreal
Armando Villarreal is an American professional soccer referee who officiates in Major League Soccer and has been selected for high-profile matches and tournaments.
-
C.
Oscar D’León
Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
-
D.
Luis Maldonado
Luis Maldonado is a musician best known as a member of the alternative rock band The Kelley Deal 6000.
-
E.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666a7a94819080ebabfba9762f97 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:23 p.m.