Triple
T37082354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Nose |
E918178
|
entity |
| Predicate | danceStyleAssociatedWith |
P176803
|
FINISHED |
| Object | twerking |
—
|
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: twerking | Statement: [Red Nose, danceStyleAssociatedWith, twerking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: danceStyleAssociatedWith Context triple: [Red Nose, danceStyleAssociatedWith, twerking]
-
A.
choreographyStyle
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
-
B.
hasDanceStyleAssociation
chosen
Indicates an association between an entity and a particular dance style with which it is related or connected.
-
C.
learnsToDanceIn
Indicates that an entity is in the process of acquiring or practicing dancing skills within a particular place or context.
-
D.
hasDanceAssociation
Indicates that there is a relationship or affiliation between an entity and a dance-related organization, group, or activity.
-
E.
danceAbility
Indicates the level or quality of how well an entity can dance.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.