docstr: check if both phrases refers to pronouns
  
  Returns:
      bool
docstr_tok: ["check","if","both","phrases","refers","to","pronouns","Returns",":","bool"]
code: def is_both_opposite_personal_pronouns(
      phrase1: str, phrase2: str
  ) -> bool:
      """
      check if both phrases refers to pronouns
  
      Returns:
          bool
      """
      result = False
      if StringUtils.is_pronoun(
          phrase1.lower()
      ) and StringUtils.is_pronoun(phrase2.lower()):
          result = True
  
      return result
  
imports: from __future__ import division
  import logging
  import os
  from typing import Set, List
  from nlp_architect.common.cdc.mention_data import MentionDataLight
  from nlp_architect.data.cdc_resources.data_types.wiki.wikipedia_pages import WikipediaPages
  from nlp_architect.data.cdc_resources.relations.relation_extraction import RelationExtraction
  from nlp_architect.data.cdc_resources.relations.relation_types_enums import RelationType, WikipediaSearchMethod
  from nlp_architect.data.cdc_resources.wikipedia.wiki_elastic import WikiElastic
  from nlp_architect.data.cdc_resources.wikipedia.wiki_offline import WikiOffline
  from nlp_architect.data.cdc_resources.wikipedia.wiki_online import WikiOnline
  from nlp_architect.utils.string_utils import StringUtils
label_desc: Use image node_id 13 for calling the WikipediaRelationExtraction obj's underlying member method code with example usage: obj.is_both_opposite_personal_pronouns(phrase1, phrase2) and returns: result