Triple
T4033543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suite of Old American Dances |
E83770
|
entity |
| Predicate | movementNumberOfPart Wallflower Waltz |
P8575
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Suite of Old American Dances, movementNumberOfPart Wallflower Waltz, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementNumberOfPart Wallflower Waltz Context triple: [Suite of Old American Dances, movementNumberOfPart Wallflower Waltz, 4]
-
A.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
B.
featuresDanceNumber
Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
-
C.
danceForm
Indicates that one entity is a style or type of dance associated with the other entity.
-
D.
dancePattern
Indicates a recurring or structured way in which an entity performs or organizes a dance or sequence of dance movements.
-
E.
danceStructure
chosen
Indicates a structural or organizational relationship between elements within a dance, such as how movements, sections, or patterns are arranged and connected.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.