A new framework for evaluating Temporal Knowledge Graph Reasoning (TKGR) has been proposed, emphasizing the importance of distinguishing between trivial and outstanding events in predictions. This approach aims to provide a more accurate assessment of reasoning capabilities in AI models by integrating event strikingness into evaluation metrics.