The relatively worse performance of OE-GCN can be attributed to the fact that it only focuses on the Event-Time information and leaves out most of the contextual information.
they propose two models, one of which learns the probabilistic constraints between year mentions and the actual creation time, whereas the other one is a discriminative model trained on hand-crafted features.