Theory of Mind (ToM) was introduced as the capacity to infer the mental states of others, such as desires, beliefs, and intentions. Numerous scenarios involving human cognition and social intelligence rely on the ToM modeling of others’ mental states, such as forecasting others’ actions, planning, and various forms of reasoning and decision-making. However, existing research demonstrates that there is a huge gap in ToM ability between humans and machines (e.g., GPT-4). This project focuses on exploring how to build a knowledge graph and perform the reasoning on the knowledge graph to help the machine enhance the ToM ability (i.e., mental state reasoning capability).