Classifier Instance:

Anchor text: Kit Woolsey
Target Entity: Kit_Woolsey
Preceding Context: In the late 1980s, backgammon programmers found more success with an approach based on artificial neural networks. TD-Gammon, developed by Gerald Tesauro of IBM, was the first of these programs to play near the expert level. Its neural network was trained using temporal difference learning applied to data generated from self-play. According to assessments by Bill Robertie and
Succeeding Context: , TD-Gammon's play was at or above the level of the top human players in the world. Woolsey said of the program that "There is no question in my mind that its positional judgment is far better than mine."
Paragraph Title: Play and analysis
Source Page: Backgammon

Ground Truth Types:

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Predicted Types:

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yagoGeoEntity-1.7460779404576605 0
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