The weak performance of EntNet and QRN on ProPara is understandable: both systems were designed with a different environment in mind, namely a large number of examples from a few conceptual domains (e.g., moving objects around a house), covering a limited vocabulary.
they might not scale well when applied to real procedural text, which justifies the importance of having a real challenge dataset like ProPara.