  Manual data annotation is an important NLP task but one that takes
considerable amount of resources and effort. In spite of the costs, labeling
and categorizing entities is essential for NLP tasks such as semantic
evaluation. Even though annotation can be done by non-experts in most cases,
due to the fact that this requires human labor, the process is costly. Another
major challenge encountered in data annotation is maintaining the annotation
consistency. Annotation efforts are typically carried out by teams of multiple
annotators. The annotations need to maintain the consistency in relation to
both the domain truth and annotation format while reducing human errors.
Annotating a specialized domain that deviates significantly from the general
domain, such as fantasy literature, will see a lot of human error and annotator
disagreement. So it is vital that proper guidelines and error reduction
mechanisms are enforced. One such way to enforce these constraints is using a
specialized application. Such an app can ensure that the notations are
consistent, and the labels can be pre-defined or restricted reducing the room
for errors. In this paper, we present SHADE, an annotation software that can be
used to annotate entities in the high fantasy literature domain. Specifically
in Dungeons and Dragons lore extracted from the Forgotten Realms Fandom Wiki.
