Triple

T17520253
Position Surface form Disambiguated ID Type / Status
Subject Project Jupyter E426663 entity
Predicate develops P73 FINISHED
Object Jupyter kernels
Jupyter kernels are modular computation backends that execute code in specific programming languages for Jupyter notebooks and other Jupyter frontends.
E1274324 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: Jupyter kernels | Statement: [Project Jupyter, develops, Jupyter kernels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jupyter kernels
Context triple: [Project Jupyter, develops, Jupyter kernels]
  • A. Jupyter Server
    Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
  • B. JupyterLab
    JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
  • C. Jupyter Notebook
    Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
  • D. IPython
    IPython is an enhanced interactive Python shell and toolkit that provides powerful introspection, rich media, and parallel computing features, and serves as the core interactive engine behind Jupyter.
  • E. Project Jupyter
    Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
  • 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: Jupyter kernels
Triple: [Project Jupyter, develops, Jupyter kernels]
Generated description
Jupyter kernels are modular computation backends that execute code in specific programming languages for Jupyter notebooks and other Jupyter frontends.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jupyter kernels
Target entity description: Jupyter kernels are modular computation backends that execute code in specific programming languages for Jupyter notebooks and other Jupyter frontends.
  • A. Jupyter Server
    Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
  • B. JupyterLab
    JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
  • C. Jupyter Notebook
    Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
  • D. IPython
    IPython is an enhanced interactive Python shell and toolkit that provides powerful introspection, rich media, and parallel computing features, and serves as the core interactive engine behind Jupyter.
  • E. Project Jupyter
    Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c94237d08190bb1f874735c87803 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.