To summarize, this paper presents an entitycentric IR approach that jointly performs entity linking and effectively finds relevant evidence required for questions that need multi-hop reasoning from a large corpus containing millions of paragraphs. When the retrieved paragraphs are supplied to the baseline QA model introduced in<cite> Yang et al. (2018)</cite> , it improved the QA performance on the hidden test set by 10.59 F1 points.