JointGrid
E96637
JointGrid is a Seaborn plotting object that creates multi-panel visualizations combining joint and marginal distributions of two variables.
All labels observed (2)
| Label | Occurrences |
|---|---|
| JointGrid canonical | 1 |
| seaborn.axisgrid module | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T825588 — 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: JointGrid Context triple: [Seaborn, hasFunction, JointGrid]
-
A.
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.
-
B.
Mapai
Mapai was a dominant left-wing labor Zionist political party in pre-state and early Israel that played a central role in founding and governing the country.
-
C.
Mosaic
Mosaic is the highest elite status tier in the TrueBlue loyalty program, offering members enhanced travel benefits and premium perks.
-
D.
Groves
Groves is a surname most notably associated with U.S. Army General Leslie R. Groves Jr., who directed the Manhattan Project during World War II.
-
E.
Mapam
Mapam was a left-wing socialist Zionist political party in Israel that played a significant role in the early decades of the state, particularly within the kibbutz movement and peace-oriented politics.
- 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: JointGrid Target entity description: JointGrid is a Seaborn plotting object that creates multi-panel visualizations combining joint and marginal distributions of two variables.
-
A.
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.
-
B.
Mapai
Mapai was a dominant left-wing labor Zionist political party in pre-state and early Israel that played a central role in founding and governing the country.
-
C.
Mosaic
Mosaic is the highest elite status tier in the TrueBlue loyalty program, offering members enhanced travel benefits and premium perks.
-
D.
Groves
Groves is a surname most notably associated with U.S. Army General Leslie R. Groves Jr., who directed the Manhattan Project during World War II.
-
E.
Mapam
Mapam was a left-wing socialist Zionist political party in Israel that played a significant role in the early decades of the state, particularly within the kibbutz movement and peace-oriented politics.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Python class
ⓘ
Seaborn plotting object ⓘ |
| allows |
customization of joint and marginal plot types independently
ⓘ
passing keyword arguments to joint function ⓘ passing keyword arguments to marginal functions ⓘ |
| canBeExtendedBy |
user-defined plotting functions for joint axis
ⓘ
user-defined plotting functions for marginal axes ⓘ |
| compatibleWith | Seaborn themes and styles ⓘ |
| createdBy |
Seaborn
ⓘ
surface form:
Seaborn library
|
| dependsOn |
Matplotlib
ⓘ
surface form:
matplotlib
pandas ⓘ |
| hasAttribute |
ax_joint
ⓘ
ax_marg_x ⓘ ax_marg_y ⓘ data ⓘ fig ⓘ height ⓘ hue ⓘ ratio ⓘ space ⓘ x ⓘ xlim ⓘ y ⓘ ylim ⓘ |
| hasMethod |
annotate
ⓘ
plot ⓘ plot_joint ⓘ plot_marginals ⓘ savefig ⓘ set ⓘ set_axis_labels ⓘ |
| introducedIn | early versions of Seaborn 0.x series ⓘ |
| output | matplotlib Figure object ⓘ |
| partOf |
JointGrid
self-linksurface differs
ⓘ
surface form:
seaborn.axisgrid module
|
| supports |
bivariate data visualization
ⓘ
univariate marginal plots ⓘ |
| supportsKind |
KDE plots in marginal axes
ⓘ
hexbin plots in joint axis ⓘ histograms in marginal axes ⓘ kernel density estimates in joint axis ⓘ scatter plots in joint axis ⓘ |
| usedByFunction | seaborn.jointplot ⓘ |
| usedFor |
creating multi-panel visualizations
ⓘ
visualizing joint distribution of two variables ⓘ visualizing marginal distributions of two variables ⓘ |
| visualLayout | one central joint axis with two marginal axes ⓘ |
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: JointGrid Description of subject: JointGrid is a Seaborn plotting object that creates multi-panel visualizations combining joint and marginal distributions of two variables.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.