There has been an increasing interest in leveraging the natural language processing capabilities of LLMs within business process modeling tasks. This paper adds to that growing body of knowledge by proposing an LLM-based approach that leverages the role-playing capabilities of LLMs to create data-annotated process collaboration models using the Business Process Model and Notation. The proposed approach consists of decomposing the modeling process into three main steps (process participant extraction, process model element extraction, and collaboration modeling) and results in the definition of Formalized Process Data to represent the process elements. The modeling approach is evaluated on several real-world Standard Operating Procedures to assess its viability in a real-world setting where relatively large documents need to be considered. The result showcases that the proposed approach is capable of creating sufficiently detailed data-annotated collaboration models.