Triple
T10339525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Be My Baby" |
E243092
|
entity |
| Predicate | featuresOpeningDrumFigure |
P93775
|
FINISHED |
| Object | iconic four-beat drum intro |
—
|
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: iconic four-beat drum intro | Statement: ["Be My Baby", featuresOpeningDrumFigure, iconic four-beat drum intro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOpeningDrumFigure Context triple: ["Be My Baby", featuresOpeningDrumFigure, iconic four-beat drum intro]
-
A.
featuresDrumMachine
Indicates that something includes or makes use of a drum machine as part of its composition or functionality.
-
B.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
C.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
D.
trainedFigure
Indicates that one entity has been trained, coached, or otherwise prepared by another entity.
-
E.
hasDrummer
Indicates that one entity serves as the drummer for, or plays drums in, another entity such as a band or musical group.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:54 a.m.