Triple
T22390582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sound Loaded |
E553499
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Amor |
—
|
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: Amor | Statement: [Sound Loaded, hasTrack, Amor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amor Context triple: [Sound Loaded, hasTrack, Amor]
-
A.
Amor
Amor is the personification of love in Christoph Willibald Gluck’s opera "Orphée et Eurydice," often depicted as a divine figure guiding the fate of the lovers.
-
B.
Amor
chosen
"Amor" is a popular 1960s Latin-influenced pop song recorded by American singer Eydie Gormé that became one of her signature hits.
-
C.
Amores
Amores is a percussion and prepared piano composition by John Cage that explores unconventional timbres and rhythmic structures.
-
D.
Amores
Amores is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
-
E.
Amores
Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.