<p>The problem you are trying to solve is called <a href="https://en.wikipedia.org/wiki/Entity_linking" rel="nofollow noreferrer">Entity Linking</a>. There are many academic papers discussing solutions to this problem, but only few of them provide an implementation.</p>

<p><a href="https://arxiv.org/abs/1904.09131" rel="nofollow noreferrer">OpenTapioka</a> from Oxford has an <a href="https://github.com/wetneb/opentapioca" rel="nofollow noreferrer">open source implementation</a> and an <a href="https://opentapioca.org" rel="nofollow noreferrer">online demo</a>.</p>

<p><a href="https://arxiv.org/pdf/1804.03580.pdf" rel="nofollow noreferrer">SWAT</a> from the University of Pisa has a  <a href="https://sobigdata.d4science.org/web/tagme/swat-api" rel="nofollow noreferrer">publically available API</a>.</p>
How to find all Wikipedia pages related to a named entity?
<p>Given a text, I am looking to find links to all Wikipedia pages related to named entities mentioned in the text. Is there a reliable way to do this?  </p>

<p>For example, consider the text,</p>

<blockquote>
  <p>Mark Elliot Zuckerberg is an American internet entrepreneur and
  philanthropist.</p>
</blockquote>

<p>" Given this, I am looking at output with the following links:</p>

<ul>
<li><a href="https://en.wikipedia.org/wiki/Mark_Zuckerberg" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Mark_Zuckerberg</a></li>
<li><a href="https://en.wikipedia.org/wiki/Americans" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Americans</a></li>
<li><a href="https://en.wikipedia.org/wiki/Internet" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Internet</a></li>
<li><a href="https://en.wikipedia.org/wiki/Entrepreneurship" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Entrepreneurship</a></li>
<li><a href="https://en.wikipedia.org/wiki/Philanthropy" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Philanthropy</a></li>
</ul>

<p>Is this possible at all given the current state of NLP? 
Many thanks!</p>