code: def low(s):
      if type(s) == str:
          return normalize_answer(s)
      else:
          for it in s:
              it = low(it)
          return s
  
file_path: DeepKE/example/llm/InstructKGC/kg2instruction/evaluate.py
imports: import sys
  import json
  import re
  import argparse
  from eval.metrics import Metric, EEMetric
  from eval.extracter import NERExtractor, REExtractor, EEExtractor, EETExtractor, EEAExtractor
label_desc: Use image node_id 2 for calling a global function with example usage: low(s) and returns: normalize_answer, s