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Difference between recognized name and resolution?

What is the difference between name recognition and named entity? A practical example will be appreciated.

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nlp named-entity-recognition
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Named object recognition picks up names and classifies them in running text. For example, given ( 1 )

John Terry to face criminal charges over alleged racist abuse

the NE recognizer will output

 [PER John Terry] to face criminal charges over alleged racist abuse

NE resolution or normalization means determining which object in the outside world the name refers to. For example, in the example above, the output will be annotated with a unique identifier for football player John Terry, as well as his Wikipedia URL:

 [https://en.wikipedia.org/wiki/John_Terry John Terry] to face criminal charges over alleged racist abuse

unlike, for example,

 https://en.wikipedia.org/wiki/John_Terry_%28actor%29 https://en.wikipedia.org/wiki/John_Terry_%28baseball%29

or any other John Terry, Wikipedia knows.

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