Triple
T9719634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dance of the Little Swans (Pas de quatre) |
E235430
|
entity |
| Predicate | numberOfDancers |
P62535
|
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: [Dance of the Little Swans (Pas de quatre), numberOfDancers, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDancers Context triple: [Dance of the Little Swans (Pas de quatre), numberOfDancers, 4]
-
A.
typicalNumberOfDancers
chosen
Indicates the usual or standard number of dancers involved in a particular dance, performance, or context.
-
B.
numberOfDances
Indicates the quantity or count of dances associated with a given entity or event.
-
C.
numberOfPerformers
Indicates the quantity of performers involved in a given event, act, or performance.
-
D.
featuresDanceNumber
Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
-
E.
demandsFromDancers
Indicates that one entity requires or insists on something from dancers, such as effort, performance, or compliance.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.