Can LLM extraction systems reuse knowledge from previous documents?

Most LLM extraction systems treat each document in isolation. DySECT stores extracted triples in a growing knowledge base and feeds accumulated knowledge back into the extractor through prompt augmentation. On DocRED, the first KB-guided iteration improved recall by 5-8% without fine-tuning.