Extract all proper nouns from a given text. The extracted names are returned as a comma-separated list.

Extract all the names from the following text. Focus on identifying proper nouns that are typically used as first and last names. For example, if the text includes 'John Doe went to meet Alice Johnson,' the names to extract would be 'John Doe' and 'Alice Johnson.'
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How to use this prompt on a CSV file?

Datablist allows you to take an entire CSV file and run prompts directly on every line. Whether you're cleaning data, generating summaries, or transforming text, this method saves hours.

Open Datablist (it's free)

The great news is that the prompt you need is already available in Datablist under the "Templates" section. No need to start from scratch! Simply select the template that fits your task, and it’s ready to run on every line of your CSV. This makes it even easier to transform your data with just a few clicks.

Import your CSV file in Datablist. Then select "Enrich" from the header.

Select Enrich
Select Enrich

Then select the template: Extract names from a text

Select Enrich
Select Template

Replace the variables from the prompt with your collection's properties using {{

Use your data
Define variables using your collection's properties