Triple
T17520464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IPython |
E426666
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Jupyter widgets |
—
|
NE NERFINISHED |
How this triple was built (2 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 widgets | Statement: [IPython, integratesWith, Jupyter widgets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jupyter widgets Context triple: [IPython, integratesWith, Jupyter widgets]
-
A.
Jupyter widgets
chosen
Jupyter widgets are interactive UI components for Jupyter notebooks that enable users to build dynamic, responsive data exploration and visualization interfaces directly within their computational documents.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
JupyterLite
JupyterLite is a lightweight, browser-based distribution of Jupyter that runs entirely in the web using WebAssembly and in-browser storage, enabling notebooks without a traditional server or local installation.
-
D.
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.
-
E.
Jupyter kernels
Jupyter kernels are modular computation backends that execute code in specific programming languages for Jupyter notebooks and other Jupyter frontends.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 5:49 a.m.