Match long query text to short field

Standard match involves providing a small query term or phrase and matching it against a larger blob of text stored in a document. I want to do the reverse - my query will be a large blob of text, like a paragraph, and I want to rank the relevance of documents that contain a full name (i.e. John Smith). I want to supply a paragraph and determine which document's full name is most likely to be contained in that paragraph. What's the best way to do this?

Answering my own question: The Percolate API allows you to store queries and run documents against them:

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