Triple
T38249249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sings (with the Orchestre Philharmonique du Luxembourg) |
E1013996
|
entity |
| Predicate | featuresAfricanRhythms |
P204568
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sings (with the Orchestre Philharmonique du Luxembourg), featuresAfricanRhythms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAfricanRhythms Context triple: [Sings (with the Orchestre Philharmonique du Luxembourg), featuresAfricanRhythms, true]
-
A.
featuresRhythm
Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
-
B.
featuresRichHarmonies
Indicates that the subject contains or employs complex, layered, and sonically dense harmonic structures.
-
C.
featuresPercussionSolo
Indicates that the subject includes or contains a distinct percussion solo performance.
-
D.
featuresVocalPercussion
Indicates that the subject includes or makes use of vocal percussion (such as beatboxing or mouth-made rhythmic sounds) as part of its content or performance.
-
E.
featuresDrumMachine
Indicates that something includes or makes use of a drum machine as part of its composition or functionality.
- F. None of above. chosen
Provenance (4 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_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.