Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].

Example Input: We're gathering different points of view about this all weekend  and we're going to start with  Congressman Ryan Costello .  He  is a Republican.  He 's in  his  second term representing Pennsylvania's 6th District  which is northwest of Philadelphia. You might remember that reviving the steel industry was one of President Trump's campaign promises  and that's one of the factors cited in Mr. Trump's victory in Pennsylvania in the 2016 election. But  he  didn't win  Mr. Costello 's district  where Hillary Clinton won narrowly.
And  Congressman Costello  is with us now. Congressman  thanks so much for speaking with us.
RYAN  COSTELLO : Great to be with you. Strange bedfellows is an apt description for sure.
 COSTELLO : On the circumference of it  yes. Additionally - little known fact - the only domestic keg company in the country is in my district. And I spoke with them yesterday  and they are extremely happy with the decision because of what the price of aluminum from China is. So there's a lot of crosscurrents in terms of who supports this as well as - some who would normally support the president's economic policies have very deep-seated concerns over it.
 COSTELLO : Well  this is certainly doubling down to those who supported  him . And  he 's consistent here with whom  he  is looking out for. It does remain to be seen what the actual policy is. This is - this could - may at the moment be similar to withdrawal of the Paris accord - right? - which pleased  his  supporters but has not yet happened. So it remains to be seen formally what steps are taken.
MARTIN: That's  Representative Ryan Costello .  He  represents the 6th District of Pennsylvania. We reached  him  in Chester County. Congressman  thanks so much for speaking with us.
 COSTELLO : Thank you. Have a good day.
Example Output: Ryan Costello

Example Input: The winner of this year's Nobel Prize in economics says  he 's "nervous" about stocks.
"We seem to be living in the riskiest moment of our lives  and yet the stock market seems to be napping  " Richard Thaler  who won the prize for his contributions to behavioral economics   told Bloomberg TV on Tuesday. "I admit to not understanding it."
"I donât know about you  but Iâm nervous  and it seems like when investors are nervous  theyâre prone to being spooked "  he  said  adding that "nothing seems to spook the market."
 Thaler  was awarded the 2017 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel on Monday.
Example Output: Richard Thaler

Example Input: "This is a game changer " says  Thomas Garrison  an archaeologist at Ithaca College who is one of the leaders of the project . It changes "the base level at which we do Maya archaeology."
The data reveals that the area was three or four times more densely populated than originally thought. "I mean  we're talking about millions of people  conservatively " says  Garrison . "Probably more than 10 million people."
The researchers fired LiDAR technology  short for "Light Detection and Ranging " down at the dense forest from an airplane. This research was organized by the PACUNAM LiDAR Initiative  and  Garrison  says the area's size is "more than double any other survey that's been done with this technology."
"As it flies the laser pulses hundreds of thousands of times per second "  Garrison  adds. "And every time one of those lasers hits a point of resistance it stops and sends back a measurement to the plane."
toggle caption PACUNAM/Thomas Garrison
LiDAR allows scientists to accomplish years or even decades worth of mapping in a single afternoon. For example   Garrison  says  he  was part of a team that worked for some eight years to map less than a square mile at a site called El Zotz. The plane using LiDAR took data for 67 square miles in a matter of hours.
"It's very humbling " says  Garrison . "For those of us that spent our lives mapping and slogging around this area ... you just sort of have to bow before the LiDAR and accept the fact that it's better than you are."
The team surveyed 10 separate areas. It took months to process the data. As the picture became clearer   Garrison  said  he  would sent emails to  his  colleagues expressing surprise at the magnitude.
 He  recalls seeing an initial image of one area in northern Guatemala. "I saw this image and I said  the whole area is covered in Maya settlement. You won't believe it "  he  adds. "And then once we got the actual data and saw the whole scope of it. We said  'Wow  we're going to be able to really do something with this.'"
Example Output:
Thomas Garrison