To what extent can we tease apart semantic representations and processes from other influences on processing such as probabilistic prediction? In this paper I detail two experiments testing the hypothesis that there are semantic complexity in the lexical representations of result verbs that influences reaction times above and beyond probabilistic distributions. This is done by replicating a self-paced reading study from Levinson & Brennan (2016) while also modelling lexical surprisal. Experiment 1 replicates the original result, but only in experiment 2 using the maze task does the effect emerge beyond surprisals. The more focal maze task results suggest that processing costs associated with bieventive result verbs should be accounted for by grammatical factors, in addition to probabilistic prediction.