We use AMR to represent semantic information about entity mentions expressed in their textual context.
given an entity mention m, we use a rule based method to construct a Knowledge Network, which is a star-shaped graph with m at the hub, with leaf nodes obtained from entity mentions reachable by AMR graph traversal from m, as well as AMR node attributes such as entity type.