  Name disambiguation is a complex but highly relevant challenge whenever
analysing real-world user data, such as data from version control systems. We
propose gambit, a rule-based disambiguation tool that only relies on name and
email information. We evaluate its performance against two commonly used
algorithms with similar characteristics on manually disambiguated ground-truth
data from the Gnome GTK project. Our results show that gambit significantly
outperforms both algorithms, achieving an F1 score of 0.985.
