Triple
T18016823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | seaborn.kdeplot |
E431015
|
entity |
| Predicate | canUseWith |
P4791
|
FINISHED |
| Object |
seaborn.FacetGrid
seaborn.FacetGrid is a high-level Seaborn object for creating multi-plot grids that visualize the relationship between one or more variables across subsets of a dataset.
|
E1301001
|
NE FINISHED |
How this triple was built (4 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: seaborn.FacetGrid | Statement: [seaborn.kdeplot, canUseWith, seaborn.FacetGrid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: seaborn.FacetGrid Context triple: [seaborn.kdeplot, canUseWith, seaborn.FacetGrid]
-
A.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
B.
Seaborn
Seaborn is a masculine given name of English origin, historically used in colonial America and associated with individuals such as Seaborn Cotton.
-
C.
seaborn.kdeplot
seaborn.kdeplot is a Seaborn function for visualizing kernel density estimates of continuous data in one or two dimensions.
-
D.
ggplot2
ggplot2 is a widely used R package for creating elegant, layered, and highly customizable data visualizations based on the Grammar of Graphics.
-
E.
JointGrid
JointGrid is a Seaborn plotting object that creates multi-panel visualizations combining joint and marginal distributions of two variables.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: seaborn.FacetGrid Triple: [seaborn.kdeplot, canUseWith, seaborn.FacetGrid]
Generated description
seaborn.FacetGrid is a high-level Seaborn object for creating multi-plot grids that visualize the relationship between one or more variables across subsets of a dataset.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: seaborn.FacetGrid Target entity description: seaborn.FacetGrid is a high-level Seaborn object for creating multi-plot grids that visualize the relationship between one or more variables across subsets of a dataset.
-
A.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
B.
Seaborn
Seaborn is a masculine given name of English origin, historically used in colonial America and associated with individuals such as Seaborn Cotton.
-
C.
seaborn.kdeplot
seaborn.kdeplot is a Seaborn function for visualizing kernel density estimates of continuous data in one or two dimensions.
-
D.
ggplot2
ggplot2 is a widely used R package for creating elegant, layered, and highly customizable data visualizations based on the Grammar of Graphics.
-
E.
JointGrid
JointGrid is a Seaborn plotting object that creates multi-panel visualizations combining joint and marginal distributions of two variables.
- F. None of above. chosen
Provenance (5 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034324daec8190a9bbec1ad80c70f9 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a0343dc91688190ae8e2f051cefef85 |
completed | May 12, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0344b6f4e081908ff2fbc7bfa4c4e1 |
completed | May 12, 2026, 3:18 p.m. |
Created at: April 10, 2026, 10:24 a.m.