Triple
T10719305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikki |
E252773
|
entity |
| Predicate | performsStyle |
P13362
|
FINISHED |
| Object | burlesque |
—
|
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: burlesque | Statement: [Nikki, performsStyle, burlesque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsStyle Context triple: [Nikki, performsStyle, burlesque]
-
A.
performanceStyle
chosen
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
B.
performsAs
Indicates that one entity takes on, enacts, or fulfills the role, function, or character of another entity.
-
C.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
D.
passingStyle
Indicates the manner or technique by which something (typically a ball or object) is passed from one entity to another.
-
E.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3722ec8190b2d78a5630bf6efc |
completed | April 9, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:13 p.m.