Triple
T9458062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand pas de deux (Aurora and Désiré) |
E228067
|
entity |
| Predicate | demandsFromDancers |
P89051
|
FINISHED |
| Object | strong partnering skills |
—
|
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: strong partnering skills | Statement: [Grand pas de deux (Aurora and Désiré), demandsFromDancers, strong partnering skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demandsFromDancers Context triple: [Grand pas de deux (Aurora and Désiré), demandsFromDancers, strong partnering skills]
-
A.
numberOfDances
Indicates the quantity or count of dances associated with a given entity or event.
-
B.
typicalNumberOfDancers
Indicates the usual or standard number of dancers involved in a particular dance, performance, or context.
-
C.
hasDanceEnsemble
Indicates that an entity is associated with or includes a particular dance ensemble as part of its activities or composition.
-
D.
demands
Indicates that one entity insists that another entity provide something or take a specific action, typically with authority or urgency.
-
E.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
- F. None of above. chosen
Provenance (4 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f924f3081909dd937cbe6802881 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69ccbf9b080c819098934a18cf2bac5d |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 7:52 p.m.