Triple

T148137
Position Surface form Disambiguated ID Type / Status
Subject Python E3372 entity
Predicate visualizationLibrary P7266 FINISHED
Object 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.
E17844 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 | Statement: [Python, visualizationLibrary, Seaborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seaborn
Context triple: [Python, visualizationLibrary, Seaborn]
  • A. Matplotlib
    Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
  • B. Plotly
    Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
  • C. pandas
    pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.
  • D. Tableau
    Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
  • E. scikit-learn
    scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
  • 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
Triple: [Python, visualizationLibrary, Seaborn]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seaborn
Target entity description: 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.
  • A. Matplotlib
    Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
  • B. Plotly
    Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
  • C. pandas
    pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.
  • D. Tableau
    Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
  • E. scikit-learn
    scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25bab43608190ba5ebfbee6b5b6e4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52df3b48190960c53fd872ff897 completed Feb. 28, 2026, 10:36 a.m.
NEDg Description generation batch_69a2c5a7925481909fa398453451a126 completed Feb. 28, 2026, 10:38 a.m.
NED2 Entity disambiguation (via description) batch_69a2c60ae5108190b735939eac69e11a completed Feb. 28, 2026, 10:40 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.