ChatIE is a two-stage framework that transforms zero-shot information extraction into a multi-turn question-answering problem, leveraging ChatGPT for entity-relation triple extraction, named entity recognition, and event extraction. The approach achieves competitive performance on six datasets across two languages without requiring annotated training data. It provides a tool-based implementation enabling local execution with OpenAI API keys.