Triple

T18016836
Position Surface form Disambiguated ID Type / Status
Subject seaborn.set_context E431016 entity
Predicate affects P9 FINISHED
Object matplotlib rcParams
matplotlib rcParams is a configuration system in Matplotlib that controls default plotting styles and behavior, such as fonts, colors, and figure sizes.
 E1301003 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: matplotlib rcParams | Statement: [seaborn.set_context, affects, matplotlib rcParams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: matplotlib rcParams
Context triple: [seaborn.set_context, affects, matplotlib rcParams]
  • A. seaborn.set_context
    seaborn.set_context is a Seaborn function that scales plot elements to suit different presentation contexts such as papers, notebooks, talks, or posters.
  • B. Matplotlib
    Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
  • C. 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.
  • D. Seaborn
    Seaborn is a masculine given name of English origin, historically used in colonial America and associated with individuals such as Seaborn Cotton.
  • E. TkAgg
    TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
  • 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: matplotlib rcParams
Triple: [seaborn.set_context, affects, matplotlib rcParams]
Generated description
matplotlib rcParams is a configuration system in Matplotlib that controls default plotting styles and behavior, such as fonts, colors, and figure sizes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: matplotlib rcParams
Target entity description: matplotlib rcParams is a configuration system in Matplotlib that controls default plotting styles and behavior, such as fonts, colors, and figure sizes.
  • A. seaborn.set_context
    seaborn.set_context is a Seaborn function that scales plot elements to suit different presentation contexts such as papers, notebooks, talks, or posters.
  • B. Matplotlib
    Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
  • C. 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.
  • D. Seaborn
    Seaborn is a masculine given name of English origin, historically used in colonial America and associated with individuals such as Seaborn Cotton.
  • E. TkAgg
    TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
  • 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.