We provided research about the abilities of neural network-based NER models, quality, and their limitations in resolving entities of different types of complexity (emails, names, skills, etc.). It has been shown that the quality depends on the entity type and complexity, and estimate "ceilings", which model quality can achieve in the case of proper realization and well-labelled dataset.