Triple
T34337037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Step Up All In |
E881174
|
entity |
| Predicate | notableDanceStyle |
P95479
|
FINISHED |
| Object | hip hop |
—
|
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: hip hop | Statement: [Step Up All In, notableDanceStyle, hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDanceStyle Context triple: [Step Up All In, notableDanceStyle, hip hop]
-
A.
notableDance
Indicates that the subject is especially recognized or distinguished for a particular dance or dancing performance.
-
B.
notableDanceSection
Indicates that a specific segment or portion of a performance is recognized as a particularly significant or distinguished dance section.
-
C.
choreographyStyle
Indicates the specific style or form of choreography associated with a performance, routine, or choreographic work.
-
D.
typeOfDanceFeatured
chosen
Indicates the specific style or category of dance that is highlighted or showcased in a given context or work.
-
E.
learnsToDanceIn
Indicates that an entity is in the process of acquiring or practicing dancing skills within a particular place or context.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:58 a.m.