 This paper examined the accuracy of a theory proposed by Gordon and Hobbes regarding the classification of common sense knowledge. It compared the theory's predictions with those of human annotators who were asked to classify sentences from a common sense benchmark dataset. The results showed that humans agreed on concrete categories such as time and space, but disagreed on more abstract concepts. These findings suggest that further work is needed to refine the theory before it can be used to develop AI systems capable of common sense reasoning. This article was authored by Enrique Santos, Mayank Kejriwal, Alice M. Mulville and others.