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HITS and the UKP Lab participated in the Entity Discovery and Linking Track at TAC KBP 2019. The main tasks were Named Entity Detection and Fine Grained Entity Typing, with a large inventory of entity types provided by DARPA AIDA (Active Interpretation of Disparate Alternatives). To address the task we apply a pipeline setup of named entity detection followed by entity typing, which aims to profit from the hierarchical relations present on the type inventory. We provide a description of our modular system and preliminary results on silver data.dblp:conf/tac/KlieLGS19 fatcat:vwbexcup5bf5dcw5paqsh7anc4