Triple
T18147779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Entertain You |
E434430
|
entity |
| Predicate | featuresDrivingBeat |
P112024
|
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: [Let Me Entertain You, featuresDrivingBeat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDrivingBeat Context triple: [Let Me Entertain You, featuresDrivingBeat, true]
-
A.
featuresBeatSwitch
Indicates that one entity includes or incorporates a change in rhythmic pattern or beat, typically marking a transition within a sequence or composition.
-
B.
featuresRhythm
chosen
Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
-
C.
featuresDrumMachine
Indicates that something includes or makes use of a drum machine as part of its composition or functionality.
-
D.
musicDriven
Indicates that one entity’s behavior, structure, or progression is guided, influenced, or determined primarily by music or musical elements.
-
E.
featuresBasslineFrom
Indicates that a musical work incorporates or uses the bassline from another musical work.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.