Triple
T35563259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The West Point Story |
E1027693
|
entity |
| Predicate | featuresDanceDirectionBy |
—
|
GENERATED |
| Object | LeRoy Prinz |
—
|
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: featuresDanceDirectionBy Context triple: [The West Point Story, featuresDanceDirectionBy, LeRoy Prinz]
-
A.
danceDirection
Indicates the direction or orientation in which the dancing action is performed or moves.
-
B.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
C.
learnsToDanceIn
Indicates that an entity is in the process of acquiring or practicing dancing skills within a particular place or context.
-
D.
typeOfDanceFeatured
Indicates the specific style or category of dance that is highlighted or showcased in a given context or work.
-
E.
danceFeature
Indicates that one entity serves as a notable characteristic, element, or attribute of a dance or dancing-related activity.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.