code: def run_event_coref(
      topics: Topics, resources: SievesContainerInitialization
  ) -> List[Clusters]:
      """
      Running Cross Document Coref on event mentions
      Args:
          topics   : The Topics (with mentions) to evaluate
          resources: resources for running the evaluation
  
      Returns:
          Clusters: List of clusters and mentions with predicted cross doc coref within each topic
      """
  
      return _run_coref(topics, resources, "event")
  
file_path: nlp-architect/nlp_architect/models/cross_doc_sieves.py
imports: import logging
  from typing import List
  from nlp_architect.common.cdc.cluster import Clusters
  from nlp_architect.common.cdc.topics import Topics
  from nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system import get_run_system
  from nlp_architect.models.cross_doc_coref.system.sieves_container_init import SievesContainerInitialization
label_desc: Use image node_id 1 for calling a global function with example usage: run_event_coref(topics, resources) and returns: _run_coref