The digital humanities is a diverse area of research, encompassing just as diverse data as disciplines, thus posing particular challenges for ontology engineering. This paper pushes the application of ontology design patterns to solve these recurring challenges. It proposes a set of potential generalised patterns identified in various DH-related case studies, which address recurring modelling issues in the DH domain: annotations, knowledge provenance, or the interpretation of cultural artefacts. Functioning as a proof-of-concept, the work showcases how patterns could improve interoperability and knowledge capturing in ontologies for the DH.