complete entity extraction from unstructured data

I understand there are many techniques/libraries/packages to extract named entities like people, places etc. from data.

Personally, for me an entity is something like:

first name: john
surname: smith
dob: 1/1/2000
shoesize: 6
address: ...

etc.

So an entity is a class having fields, to use object orientated terminology.

One would expect that these fields/attributes would occur close in a unstructured data (closeness could be defined by word distance). Are there techniques to extract, what I would call, complete entities? Of course this would no be too accurate but anything would be better than nothing. I did a few google searches without success.

Topic entity-linking named-entity-recognition nlp

Category Data Science

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