Rewrite and polish: In light of the aforementioned aspects, it is imperative to address the issue of inaccurate labeling in distant supervision RE. Rectifying this specific concern has the potential to yield a considerable volume of reliable sample data, thereby significantly advancing the domain of study. A trending solution is to leverage the remarkable capability of data annotation in Large Language Models, such as GPT3, ChatGPT, etc., to perform relatively reliable data augmentation. 