Community call: OpenRefine LLM Extension Demo

Community Events
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The recording of the OpenRefine Community Call: OpenRefine LLM Extension Demo is now available on YouTube:

Thank you again to @h_piedcoq, @psm, and @Sunil_Natraj for contributing to the session.

Recording overview

The recording includes three main parts:

  • Hervé Piedcoq’s demo (starts at 00:19 min), based on his DataHarvest 2026 tutorial, with a focus on data journalism workflows. Hervé spent a significant part of the demo showing name cleaning with the LLM extension. His tutorial materials are linked in the first post of this thread.

  • Parthasarathi Mukhopadhyay’s demo (starts at 24:23 min), focused on library-specific use cases and testing different models via Ollama. His related materials are available here:

  • Community discussion (starts at 50:15 min), including questions with Sunil Natraj, developer of the OpenRefine LLM Extension.

Topics covered

Some of the points discussed during the session include:

  • using the LLM extension for name cleaning and data journalism workflows
  • testing local models through Ollama
  • library metadata use cases
  • using structured JSON responses so that an LLM can return multiple data points in a single answer
  • including fields such as confidence scores or reasoning notes in structured outputs
  • possible uses of LLMs to review reconciliation service candidates
July 30, 2026 Advisory Committee