The prompt does not matter as much as the workflow which is describe above. 1) Extract one attribute at a time. 2) Don't ask for json during extraction, but on binary small attributes it might not matter as much.. 3) Combine the data later.

There are differences that can be marked on how different models perform against the same raw prompt but generally the workflow is what matters more. The raw text prompt will be dependent on what model you are using as there are those differences but I don't think its a level of "prompt engineering" like we had a year ago.