Triple
T18016831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | seaborn.set_context |
E431016
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Seaborn API function |
C40303
|
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 API function Context triple: [seaborn.set_context, instanceOf, Seaborn API function]
-
A.
Seaborn plotting object
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.
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.
-
D.
neural network API
A neural network API is an interface that allows developers to build, configure, train, and deploy neural network models programmatically without managing low-level implementation details.
-
E.
interactive data tool
An interactive data tool is a software application that enables users to explore, manipulate, and visualize data dynamically through responsive, user-driven controls and interfaces.
- F. None of above. chosen
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.