Triple
T18016779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | seaborn.kdeplot |
E431015
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Seaborn plotting function |
C15632
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Seaborn plotting function Context triple: [seaborn.kdeplot, instanceOf, Seaborn plotting function]
-
A.
Seaborn plotting object
chosen
A Seaborn plotting object is a high-level Python visualization construct that encapsulates data, aesthetic mappings, and plot configuration to produce statistically informative and visually appealing charts.
-
B.
Seaborn class
A Seaborn class represents a high-level statistical data visualization object that encapsulates plotting functions, aesthetic styles, and configuration options for creating informative and attractive graphs in Python.
-
C.
interactive plotting backend
An interactive plotting backend is a software component that connects a plotting library to a graphical user interface or environment, enabling dynamic visualization features such as zooming, panning, and real-time updates.
-
D.
data visualization platform
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
-
E.
visualization technique
A visualization technique is a method or approach used to transform data or information into graphical or visual forms that enhance understanding, insight, and communication.
- F. None of above.
Provenance (1 batch)
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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:24 a.m.