Triple
T38249262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sings (with the Orchestre Philharmonique du Luxembourg) |
E1013996
|
entity |
| Predicate | primaryVocalGenreInfluence |
P20936
|
FINISHED |
| Object | Afropop |
—
|
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: Afropop | Statement: [Sings (with the Orchestre Philharmonique du Luxembourg), primaryVocalGenreInfluence, Afropop]
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 (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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.