Triple
T25862587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sounds of Blackness |
E651523
|
entity |
| Predicate | hasEthnicStyle |
P27835
|
FINISHED |
| Object | African American music |
—
|
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: African American music | Statement: [Sounds of Blackness, hasEthnicStyle, African American music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicStyle Context triple: [Sounds of Blackness, hasEthnicStyle, African American music]
-
A.
hasEthnicCharacteristic
chosen
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
B.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
-
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.
hasEthnicGroupType
Indicates that an entity is associated with, characterized by, or classified according to a particular type or category of ethnic group.
-
E.
hasEthnicTarget
Indicates that an action, statement, or event is directed toward or targets a specific ethnic group.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 22, 2026, 8:06 a.m.