code: def entity_convert_target1(self, entities):
      output_text = []
      for entity in entities:
          entity_text = self.nan(entity["entity"])
          entity_type = self.nan(entity["entity_type"])
          if entity_type == "":
              continue
          if entity_text == "":
              output_text.append(self.NAN)
              continue
          output_text.append(f"实体是{entity_text},实体类型是{entity_type}")
      output_text = "\n".join(output_text)
      if (
          len(
              output_text.replace(self.NAN, "")
              .replace("\n", "")
              .strip()
          )
          == 0
      ):
          return self.prefix + self.NAN
      return self.prefix + output_text
  
file_path: DeepKE/example/llm/InstructKGC/kg2instruction/convert/converter/ner_converter.py
imports: import json
label_desc: Use image node_id 4 for calling the NERConverter obj's underlying member method code with example usage: obj.entity_convert_target1(entities) and returns: unknown, unknown