The execution of business processes generates a lot of data comprising final process results as well as information about intermediate activities, both communicated as events. Automated process execution environments are centrally controlled by process engines that hold the connection between events and the processes they occure in. In contrast, in manual process execution environments, e.g., logistics, these events may not be correlated to the process they origin from. The correlation information is usually not present in the event but in so-called context data, which exists orthogonally to the corresponding process. However, in the areas of process monitoring and analysis, events need to be correlated to specific process instances. To close the gap between recorded events without process correlation and required events with process correlation, we propose a framework that enriches recorded events with context data to create events correlated to processes, so-called process events.