Triple
T36074475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Wouldn't Be in Your Shoes |
E1043459
|
entity |
| Predicate | includesDanceElement |
P141994
|
FINISHED |
| Object | tap dancing |
—
|
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: tap dancing | Statement: [I Wouldn't Be in Your Shoes, includesDanceElement, tap dancing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesDanceElement Context triple: [I Wouldn't Be in Your Shoes, includesDanceElement, tap dancing]
-
A.
hasDancePopElements
Indicates that something incorporates stylistic or musical characteristics commonly associated with dance-pop.
-
B.
choreographyIncludes
Indicates that a choreography or dance piece contains or incorporates a specific movement, sequence, or component as part of its structure.
-
C.
hasDanceEnsemble
Indicates that an entity is associated with or includes a particular dance ensemble as part of its activities or composition.
-
D.
containsDanceNumber
chosen
Indicates that something (such as a work, performance, or production) includes at least one distinct dance sequence or dance number as part of its content.
-
E.
hasDanceMovement
Indicates that one entity includes, performs, or is characterized by a specific dance movement associated with another entity.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.