Entity matching in Master Data Management (MDM) is the task of determining if two entities represent the same real world entity. Entities are typically people, organizations, locations, and events represented as attributed nodes in a graph, though they can also be represented as relational data. While artificial neural network models and probabilistic matching engines exist for this task, explaining entity matching has received less attention. In this presentation, we describe three entity matching scenarios in the real world and present explainability solutions for them.