Triple
T2571348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Latin Americans |
E57670
|
entity |
| Predicate | danceStyleInfluenced |
P20189
|
FINISHED |
| Object | capoeira |
—
|
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: capoeira | Statement: [Afro-Latin Americans, danceStyleInfluenced, capoeira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: danceStyleInfluenced Context triple: [Afro-Latin Americans, danceStyleInfluenced, capoeira]
-
A.
choreographyStyle
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
-
B.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
C.
danceForm
chosen
Indicates that one entity is a style or type of dance associated with the other entity.
-
D.
hasTraditionalDance
Indicates that an entity is associated with, practices, or possesses a specific traditional dance.
-
E.
associatedDanceTrend
Indicates a relationship where one entity is linked to, or commonly recognized as having, a particular dance trend connected with it.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd383dce881909411a38c6d37bc3a |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.