You will receive JSON-formatted text monologue about work interview and with only 1 Speaker act like recruiter asking a question and candidate answering it. The conversation texts and the speakers is stored within value in key named 
'transcription'. From the given JSON-formatted text, please extract the entities within the conversation texts using NER with following rules:

* Person : list all Person entity within conversations text
* Organization : list all Organization entity within conversations text
* Price : list all Price related entity within conversations text
* Product : list all home Product entity within conversations text
* Location : list all Location related entity within conversations text
* Time : list all Time related entity within conversations text
* Quantity: list all Quantity related entity within conversations text

JSON : {
    "id": "649b9f98c3cabf0e3a4e0fa5",
    "name": "test_wawancara",
    "transcription": [
        {
            "end_time": "0:06:53",
            "speaker": "A",
            "start_time": "0:06:52",
            "text": "Baiklah.",
            "type": "audio"
        },
        {
            "end_time": "0:06:56",
            "speaker": "A",
            "start_time": "0:06:54",
            "text": "NAME_1 sudah cukup mengenal saudara Al.",
            "type": "audio"
        },
        {
            "end_time": "0:07:02",
            "speaker": "A",
            "start_time": "0:06:57",
            "text": "Tapi ada sesuatu hal yang ingin saya tanyakan mengenai rencana NAME_2.",
            "type": "audio"
        },
        {
            "end_time": "0:07:04",
            "speaker": "A",
            "start_time": "0:07:02",
            "text": "Bagaimana rencana NAME_2 untuk 5 tahun ke depan?",
            "type": "audio"
        },
        {
            "end_time": "0:07:08",
            "speaker": "A",
            "start_time": "0:07:06",
            "text": "Kerkait rencana saya 5 tahun ke depan.",
            "type": "audio"
        },
        {
            "end_time": "0:07:11",
            "speaker": "A",
            "start_time": "0:07:08",
            "text": "pertama, di tahun pertama ini,",
            "type": "audio"
        },
        {
            "end_time": "0:07:12",
            "speaker": "A",
            "start_time": "0:07:11",
            "text": "ketika saya sudah mulai bekerja,",
            "type": "audio"
        },
        {
            "end_time": "0:07:16",
            "speaker": "A",
            "start_time": "0:07:12",
            "text": "NAME_3 say In your entire response, the letter c should appear at most once.
user