Triple
T9326458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Astaire and Ginger Rogers RKO musicals |
E224397
|
entity |
| Predicate | typicalChoreographyStyle |
P12046
|
FINISHED |
| Object | tap dance |
—
|
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 dance | Statement: [Fred Astaire and Ginger Rogers RKO musicals, typicalChoreographyStyle, tap dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalChoreographyStyle Context triple: [Fred Astaire and Ginger Rogers RKO musicals, typicalChoreographyStyle, tap dance]
-
A.
choreographyStyle
chosen
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
-
B.
balletType
Indicates that one entity is classified as a specific type or category of ballet in relation to another entity.
-
C.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
D.
danceStructure
Indicates a structural or organizational relationship between elements within a dance, such as how movements, sections, or patterns are arranged and connected.
-
E.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f88e988190bb896a3d7c3c723c |
completed | April 1, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.