Triple
T14559628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are You That Somebody? |
E341633
|
entity |
| Predicate | featuresDanceChoreography |
P35110
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Are You That Somebody?, featuresDanceChoreography, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDanceChoreography Context triple: [Are You That Somebody?, featuresDanceChoreography, true]
-
A.
danceFeature
Indicates that one entity serves as a notable characteristic, element, or attribute of a dance or dancing-related activity.
-
B.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
C.
typeOfDanceFeatured
Indicates the specific style or category of dance that is highlighted or showcased in a given context or work.
-
D.
featuresDanceNumber
chosen
Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
-
E.
choreographyStyle
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.