Triple
T2713375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrobeat |
E59911
|
entity |
| Predicate | primaryRhythmicFeature |
P7864
|
FINISHED |
| Object | interlocking drum patterns |
—
|
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: interlocking drum patterns | Statement: [Afrobeat, primaryRhythmicFeature, interlocking drum patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRhythmicFeature Context triple: [Afrobeat, primaryRhythmicFeature, interlocking drum patterns]
-
A.
hasRhythmicStyle
chosen
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
B.
primaryInstrumentalFocus
Indicates that one entity serves as the main or most emphasized instrument or means by which another entity performs an action or achieves an effect.
-
C.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
D.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
E.
primaryTone
Indicates the main or dominant emotional or stylistic quality characterizing something, in contrast to any secondary or supporting tones.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.