Triple
T8424588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sampling Corona’s 1993 hit The Rhythm of the Night |
E198945
|
entity |
| Predicate | appliedInGenre |
P33225
|
FINISHED |
| Object | Latin pop |
—
|
LITERAL FINISHED |
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: Latin pop | Statement: [sampling Corona’s 1993 hit The Rhythm of the Night, appliedInGenre, Latin pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedInGenre Context triple: [sampling Corona’s 1993 hit The Rhythm of the Night, appliedInGenre, Latin pop]
-
A.
coveredInGenre
chosen
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
B.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
-
C.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
D.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
E.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
- F. None of above.
Provenance (3 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a0d04481908a5da908cafeceaa |
completed | March 31, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:07 p.m.