Extracting structured knowledge graphs from unstructured historical texts is precise but slow when done by hand, and hard to automate without losing the nuances of historical sources. This chapter presents a two-stage computational pipeline — open information extraction followed by LLM-based …

Bringing large language models into a shared research workflow raises different questions for historians, political scientists, and digital humanists working together. Drawing on the project “Analysis of narratives in the genetic engineering discourse,” this chapter reflects on extending …