Triple
T11317974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Life |
E268013
|
entity |
| Predicate | danceFormFeatured |
P24033
|
FINISHED |
| Object | bottle dance (stage choreography element in some productions) |
—
|
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: bottle dance (stage choreography element in some productions) | Statement: [To Life, danceFormFeatured, bottle dance (stage choreography element in some productions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: danceFormFeatured Context triple: [To Life, danceFormFeatured, bottle dance (stage choreography element in some productions)]
-
A.
typeOfDanceFeatured
Indicates the specific style or category of dance that is highlighted or showcased in a given context or work.
-
B.
danceForm
Indicates that one entity is a style or type of dance associated with the other entity.
-
C.
danceProp
chosen
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
D.
usesDanceForms
Indicates that one entity employs or incorporates specific dance forms in its actions, practices, or expressions.
-
E.
danceCreated
Indicates that one entity is the creator or choreographer of a particular dance or dance work.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.