Triple
T12003779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under My Thumb |
E285729
|
entity |
| Predicate | featuresRiff |
P102618
|
FINISHED |
| Object | marimba-driven riff |
—
|
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: marimba-driven riff | Statement: [Under My Thumb, featuresRiff, marimba-driven riff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRiff Context triple: [Under My Thumb, featuresRiff, marimba-driven riff]
-
A.
featuresDrumMachine
Indicates that something includes or makes use of a drum machine as part of its composition or functionality.
-
B.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
C.
featuresAdLibsBy
Indicates that something (such as a song or track) includes ad-lib vocal contributions performed by a specified artist or entity.
-
D.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
E.
featuresMood
Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c481a48190b311d6809808ef1b |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d9038e39f881908c58c19802ba2eb0 |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.