Triple
T36244394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoot |
E891616
|
entity |
| Predicate | associatedDanceName |
—
|
GENERATED |
| Object | Shoot dance |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedDanceName Context triple: [Shoot, associatedDanceName, Shoot dance]
-
A.
associatedDanceTrend
Indicates a relationship where one entity is linked to, or commonly recognized as having, a particular dance trend connected with it.
-
B.
hasDanceAssociation
Indicates that there is a relationship or affiliation between an entity and a dance-related organization, group, or activity.
-
C.
associatedDanceCreator
Indicates that a dance is created, choreographed, or otherwise brought into existence by a particular creator.
-
D.
alsoDancedAs
Indicates that an entity performed under an additional dance name or identity besides their primary one.
-
E.
learnsToDanceIn
Indicates that an entity is in the process of acquiring or practicing dancing skills within a particular place or context.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.