Recently, there has been a significant growth in keyword search due to its wide range of use-cases in people's everyday life. While keyword search has been applied to different kinds of data, ambiguity always exists no matter what data the query is being asked from. Generally, when users submit a query they need an exact answer that perfectly meets their needs, rather than wondering about different possible answers that are retrieved by the system. To achieve this, search systems need a Disambiguation functionality that can efficiently filter out and rank all possible answers to a query, before showing them to user. In this paper, we are going to describe how we are improving state of the art in various stages of a keyword-search pipeline in order to retrieve the answers that best match the user's intent.