Named entity recognition is a very important part of information retrieval and information extraction. Classification is also very important. This paper investigates the sub-classification of named entities from the point of view of information retrieval and information extraction. This paper also presents multi-classification and gives detailed information about each sub-class. We have manually annotated people’s daily corpus (1998) and conducted a serial of experiments using the statistical model of named entity recognition. Theexperimental results show that the sub-classes presented by this paper can enhance the recognition system’s performance and aid information retrieval and information extraction.