code: def __init__(self, topic: Topic, resources):
      super(RunSystemsEntity, self).__init__(topic)
      self.sieves = self.set_sieves_from_config(
          resources.entity_config, resources.get_module_from_relation
      )
  
file_path: nlp-architect/nlp_architect/models/cross_doc_coref/system/sieves/run_sieve_system.py
imports: import logging
  import time
  from nlp_architect.common.cdc.cluster import Clusters
  from nlp_architect.common.cdc.topics import Topic
  from nlp_architect.models.cross_doc_coref.system.sieves.sieves import SieveClusterMerger
  from nlp_architect.models.cross_doc_coref.system.sieves_container_init import SievesContainerInitialization
label_desc: Use image node_id 1 to create a new RunSystemsEntity object from inherited base classes: RunSystemsSuper with example: obj = RunSystemsEntity(topic, resources)