This post presents a Jupyter notebook interactively showing how the NLP Building Blocks can be used. The notebook defines functions for sentence extraction, tokenization, and named-entity extraction. (We recently made a blog post showing how to accomplish the same thing but through Apache NiFi.)
To run the notebook first start the NLP Building Block docker containers. Then fire up Jupyter and replace the 192.168.1.134 IP in the notebook with the IP address of your computer running the containers. You can then step through the notebook.