Triple
T32275195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamblue |
E824522
|
entity |
| Predicate | hasHarmonyInfluence |
P177372
|
FINISHED |
| Object | modern jazz harmony |
—
|
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: modern jazz harmony | Statement: [Mamblue, hasHarmonyInfluence, modern jazz harmony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHarmonyInfluence Context triple: [Mamblue, hasHarmonyInfluence, modern jazz harmony]
-
A.
hasHarmony
Indicates that two or more entities are in a state of balance, agreement, or pleasing coordination with one another.
-
B.
hasRhythmInfluence
Indicates that one entity has influenced or shaped the rhythmic patterns, style, or timing characteristics of another entity.
-
C.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
-
D.
hasDiasporaInfluenceOn
Indicates that a diaspora community exerts cultural, social, economic, or political influence on another entity, such as a country, region, or group.
-
E.
usesHarmonics
Indicates that one entity employs harmonic frequencies or overtones of another entity or signal as part of its operation or behavior.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 12:43 a.m.