From the results, we can also find that there is no clear winner between GRAPE and WS.
in this paper, we explore the feature space in the web person name disambiguation task and propose a topic-based model which exploits corpus level person specific evidences to handle the data sparsity challenges, especially the case that limited evidences can be collected from the local context.