This reminds me of a paper: "The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators"

https://arxiv.org/abs/2407.11004

In essence, LLMs are quite good at writing the code to properly parse large amounts of unstructured text, rather than what a lot of people seem to be doing which is just shoveling data into an LLM's API and asking for transformations back.