Triple

T148136
Position Surface form Disambiguated ID Type / Status
Subject Python E3372 entity
Predicate visualizationLibrary P7266 FINISHED
Object Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
E17663 NE FINISHED

How this triple was built (5 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 | Statement: [Python, visualizationLibrary, Matplotlib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matplotlib
Context triple: [Python, visualizationLibrary, Matplotlib]
  • A. Python
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • B. 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.
  • C. Python Software Foundation
    The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
  • D. Python reference implementation (CPython)
    Python reference implementation (CPython) is the original and most widely used implementation of the Python programming language, written in C and serving as the de facto standard for Python behavior and compatibility.
  • E. Power BI
    Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
  • 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
Triple: [Python, visualizationLibrary, Matplotlib]
Generated description
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matplotlib
Target entity description: Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
  • A. Python
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • B. 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.
  • C. Python Software Foundation
    The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
  • D. Python reference implementation (CPython)
    Python reference implementation (CPython) is the original and most widely used implementation of the Python programming language, written in C and serving as the de facto standard for Python behavior and compatibility.
  • E. Power BI
    Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualizationLibrary
Context triple: [Python, visualizationLibrary, Matplotlib]
  • A. plotElement
    Indicates that one entity functions as a narrative component or structural element within the storyline of another entity (such as a work of fiction or media).
  • B. vision
    Indicates that an entity perceives another entity or object visually, using sight.
  • C. depicts
    Indicates that one entity visually represents, portrays, or shows another entity.
  • D. envisionedAs
    Indicates that one entity is mentally pictured, imagined, or conceived in terms of another entity or role.
  • E. demonstratedConcept
    Indicates that an entity has shown, illustrated, or made evident a particular concept through example, explanation, or action.
  • F. None of above. chosen

Provenance (7 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_69a258808ff08190a06b6206f635612b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c27754a881908ef5a96e05e515e3 completed Feb. 28, 2026, 10:24 a.m.
NEDg Description generation batch_69a2c37177348190857d52872e6ab393 completed Feb. 28, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_69a2c3c512f08190bb87f874524b1616 completed Feb. 28, 2026, 10:30 a.m.
PD Predicate disambiguation batch_69a256580c2c8190beecca60ca8595f3 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2587e598c81909e1082b813971f48 completed Feb. 28, 2026, 2:52 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.