Triple
T8989142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandz a Make Her Dance |
E214742
|
entity |
| Predicate | hasDanceAssociation |
P86188
|
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: [Bandz a Make Her Dance, hasDanceAssociation, twerking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDanceAssociation Context triple: [Bandz a Make Her Dance, hasDanceAssociation, twerking]
-
A.
hasDanceEnsemble
Indicates that an entity is associated with or includes a particular dance ensemble as part of its activities or composition.
-
B.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
C.
hasDanceSceneWith
Indicates that two entities participate together in a dance scene within the same context or work.
-
D.
hasDanceSequences
Indicates that the subject contains or features one or more dance sequences as part of its content or activity.
-
E.
hasBackingDancers
Indicates that a performer or act is accompanied by one or more dancers who support or enhance their performance.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687205c88190a4cdf12ee2cdfd14 |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:04 p.m.