Replace substrings with entity class names
This might be an obvious question. Sorry in advance. I am trying to use thismodelto perform NER.  The sample output is as follows:[   {     "entity_group": "ORG",     "score": 0.8827372789382935,     "word": "DEF",     "start": 5,     "end": 8   },   {     "entity_group": "ORG",     "score": 0.9999775886535645,     "word": "ABC",     "start": 65,     "end": 68   },   {     "entity_group": "ORG",     "score": 0.9560933113098145,     "word": "YZD",     "start": 101,     "end": 104   } ]Based on this information, I would like to replace the identified entities with their entity class names. Is there a function to do so? I thought about using pure python to replace things iteratively but this would change the 'start’s and 'end’s for subsequent tokens. Sorry again if this is a very obvious question as I am new to the library. Any help is greatly appreciatedAn exampleInput: “Elvis is a good singer in the United States”Desired Output: "[PER] is a good singer in the [LOC]