PairGrid
E96638
PairGrid is a Seaborn class for creating multi-plot grids that visualize pairwise relationships across multiple variables in a dataset.
All labels observed (1)
| Label | Occurrences |
|---|---|
| PairGrid canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T825589 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PairGrid Context triple: [Seaborn, hasFunction, PairGrid]
-
A.
Matchmakers
Matchmakers is a popular Ukrainian comedy television series produced by Kvartal 95 Studio that follows the humorous clashes and relationships between two very different families.
-
B.
Kirkpatrick-Juxta
Kirkpatrick-Juxta is a place name derived from the settlement of Kirkpatrick, typically referring to a nearby or adjoining locality historically associated with that parish.
-
C.
Chiascio
Chiascio is a river in central Italy that flows through the Umbria region before joining the Tiber.
-
D.
Mutual
Mutual was a major American radio network that broadcast many prominent sports events and entertainment programs during the mid-20th century.
-
E.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PairGrid Target entity description: PairGrid is a Seaborn class for creating multi-plot grids that visualize pairwise relationships across multiple variables in a dataset.
-
A.
Matchmakers
Matchmakers is a popular Ukrainian comedy television series produced by Kvartal 95 Studio that follows the humorous clashes and relationships between two very different families.
-
B.
Kirkpatrick-Juxta
Kirkpatrick-Juxta is a place name derived from the settlement of Kirkpatrick, typically referring to a nearby or adjoining locality historically associated with that parish.
-
C.
Chiascio
Chiascio is a river in central Italy that flows through the Umbria region before joining the Tiber.
-
D.
Mutual
Mutual was a major American radio network that broadcast many prominent sports events and entertainment programs during the mid-20th century.
-
E.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Seaborn class
ⓘ
multi-plot grid ⓘ visualization tool ⓘ |
| allowsCustomizationOf |
axes labels
ⓘ
color palettes ⓘ diagonal plots ⓘ lower triangle plots ⓘ off-diagonal plots ⓘ plot kinds ⓘ upper triangle plots ⓘ |
| documentationURL | https://seaborn.pydata.org/generated/seaborn.PairGrid.html ⓘ |
| hasMethod |
add_legend
ⓘ
fig ⓘ map ⓘ map_diag ⓘ map_lower ⓘ map_offdiag ⓘ map_upper ⓘ savefig ⓘ |
| integratesWith |
matplotlib
ⓘ
linked to:
Matplotlib
|
| operatesOn |
pandas DataFrame
ⓘ
tabular datasets ⓘ |
| parameter |
aspect
ⓘ
corner ⓘ data ⓘ despine ⓘ dropna ⓘ height ⓘ hue ⓘ hue_kws ⓘ palette ⓘ vars ⓘ x_vars ⓘ y_vars ⓘ |
| partOf | Seaborn ⓘ |
| programmingLanguage | Python ⓘ |
| relatedTo |
seaborn.pairplot
ⓘ
linked to:
Seaborn
|
| supportsPlotType |
custom matplotlib plots
ⓘ
histograms ⓘ kernel density estimates ⓘ regression plots ⓘ scatter plots ⓘ |
| usedFor |
creating multi-plot grids
ⓘ
exploratory data analysis ⓘ visualizing pairwise relationships ⓘ visualizing relationships across multiple variables ⓘ |
| visualizes |
bivariate distributions
ⓘ
pairwise relationships between variables ⓘ univariate distributions ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: PairGrid Description of subject: PairGrid is a Seaborn class for creating multi-plot grids that visualize pairwise relationships across multiple variables in a dataset.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.