Triple
T20094378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armando Domínguez |
E496358
|
entity |
| Predicate | contributedTo |
P37
|
FINISHED |
| Object | Destino |
—
|
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: Destino | Statement: [Armando Domínguez, contributedTo, Destino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Destino Context triple: [Armando Domínguez, contributedTo, Destino]
-
A.
Destino
Destino is a surreal animated short film originally conceived in the 1940s as a collaboration between Walt Disney and Salvador Dalí, completed and released by Disney in 2003.
-
B.
Destino
chosen
Destino is a Mexican television drama series in which actress Paola Núñez plays a prominent role.
-
C.
Wanderlust
"Wanderlust" is a song by the electronic music duo Volta, known for its atmospheric production and emotive, travel-inspired themes.
-
D.
Wanderlust
"Wanderlust" is a song by Paul McCartney from his 1982 album *Tug of War*, noted for its melodic richness and reflective lyrics.
-
E.
Wanderlust
"Wanderlust" is a song by the British indie rock band Wild Beasts, known for its atmospheric production and distinctive, emotive vocals.
- 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.