code: def extract_be_comp(self, text):
      first_sentence_start_index = text.index("'''")
      if first_sentence_start_index >= 0:
          last_temp_index = text.find("\n", first_sentence_start_index)
      if last_temp_index == -1:
          last_temp_index = len(text)
  
      first_paragraph = text[first_sentence_start_index:last_temp_index]
      if WikiOnline.extract_be_a_index(
          first_paragraph
      ) == -1 and last_temp_index != len(text):
          return self.extract_be_comp(text[last_temp_index:])
      elif last_temp_index == len(text):
          return None, None
  
      first_paragraph_clean = re.sub(r"\([^)]*\)", "", first_paragraph)
      first_paragraph_clean = re.sub(
          r"<[^>]*>", "", first_paragraph_clean
      )
      first_paragraph_clean = re.sub(
          r"{[^}]*}", "", first_paragraph_clean
      )
      first_paragraph_clean = re.sub(
          r"\[\[[^]]*\]\]", "", first_paragraph_clean
      )
      first_paragraph_clean = re.sub(r"[\']", "", first_paragraph_clean)
      first_paragraph_clean = re.sub(
          r"&nbsp;", " ", first_paragraph_clean
      )
  
      return self.extract_be_comp_relations(first_paragraph_clean)
  
imports: import logging
  import os
  import re
  import sys
  from nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page import WikipediaPage
  from nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_page_extracted_relations import WikipediaPageExtractedRelations
  from nlp_architect.data.cdc_resources.wikipedia.wiki_search_page_result import WikipediaSearchPageResult
  from nlp_architect.utils.text import SpacyInstance
label_desc: Use image node_id 10 for calling the WikiOnline obj's underlying member method code with example usage: obj.extract_be_comp(text) and returns: self, self, None,  None