Triple

T17520443
Position Surface form Disambiguated ID Type / Status
Subject IPython E426666 entity
Predicate hasComponent P35 FINISHED
Object IPython kernel 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: IPython kernel | Statement: [IPython, hasComponent, IPython kernel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IPython kernel
Context triple: [IPython, hasComponent, IPython kernel]
  • A. IPython chosen
    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.
  • B. Jupyter Server
    Jupyter Server is the backend application that manages and serves Jupyter notebooks, kernels, and related services for frontends like JupyterLab.
  • C. JupyterLab
    JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
  • 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. Pycell
    Pycelle is the aging Grand Maester of the Seven Kingdoms in Game of Thrones, a seemingly frail but politically calculating court advisor who often serves the interests of House Lannister.
  • 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.