Triple
T38249262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sings (with the Orchestre Philharmonique du Luxembourg) |
E1013996
|
entity |
| Predicate | primaryVocalGenreInfluence |
—
|
GENERATED |
| Object | Afropop |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryVocalGenreInfluence Context triple: [Sings (with the Orchestre Philharmonique du Luxembourg), primaryVocalGenreInfluence, Afropop]
-
A.
vocalInfluence
Indicates that one entity affects, shapes, or modifies another entity through vocal expression, such as speech, tone, or sound.
-
B.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
C.
influenceOnGenre
Indicates how strongly one entity has shaped, affected, or contributed to the development or characteristics of a particular genre.
-
D.
featuresSingingInfluence
Indicates that one entity’s singing style or technique has a notable influence on another entity’s singing.
-
E.
influencedByGenre
chosen
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
- F. None of above.
Provenance (1 batch)
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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.