  To understand the complexity of global events, one must navigate a web of
interwoven sub-events, identifying those most impactful elements within the
larger, abstract macro-event framework at play. This concept can be extended to
the field of natural language processing (NLP) through the creation of
structured event schemas which can serve as representations of these abstract
events. Central to our approach is the Schema Curation Interface 3.0 (SCI 3.0),
a web application that facilitates real-time editing of event schema properties
within a generated graph e.g., adding, removing, or editing sub-events,
entities, and relations directly through an interface.
