Dealing with unstructured text to obtain information is one of the biggest aims in the field of natural language processing. In this talk, we will be demoing a solution where we have unstructured text on a particular topic, and we apply named entity recognition, together with relationship extraction, to extract structured data. We will be introducing our data source, the models that we use, and will be inspecting the end results, viewing particular statistics, and hovering over a graph, extracted from the raw text.