Model: GPT-4o
Link to shareable prompt: https://chatgpt.com/share/68509306-3e80-8005-9266-1bb0d7f3fcda

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Prompt:
Generate a JSON file with data describing 50 employees, using the following mermaid entity relation diagram:

erDiagram
  EMPLOYEE {
    int ID
    string first
    string last
    string middle
    string address
    string phone
    int ssn
  }
  BACKGROUND_CHECK {
    int ID
    int EMPLOYEE_ID
    date date
    string results
  }
  TAX_INFO {
    int ID
    int EMPLOYEE_ID
    int year
    float withholding
  }
  TRAINING {
    int ID
    int TRAINING_TYPE
    int EMPLOYEE_ID
    float score
  }
  EMP_AGREE {
    int ID
    int EMPLOYEE_ID
    int POSITION_ID
    int POSITION_TYPE
    date START_DATE
    date END_DATE
    int benefits_class
    float pay_hourly_equiv
    float hours_wk
    int pay_period
  }
  ORG_REL {
    int ID
    int EMPLOYEE_ID
    int SUPERVISOR_ID
  }
  EMPLOYEE }|--|| EMP_AGREE : has
  EMPLOYEE }|--|| ORG_REL : has
  EMPLOYEE ||--|{ TAX_INFO : has
  EMPLOYEE ||--|{ TRAINING : has
  EMPLOYEE ||--|{ BACKGROUND_CHECK : has


  accTitle: Sample Company Employee-related Records
  accDescr {
    This diagram contains information about corporate records relating to a single employee, such as employee details, supervisory relationships, employment agreement details, training records, tax information, and background checks.
  }

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Response:

The sample dataset has been generated based on your Mermaid ER diagram. You can download the JSON file using the link below:

👉 [Download sample\_employee\_data.json](sandbox:/mnt/data/sample_employee_data.json)

Let me know if you'd like a CSV version or want to customize the data further.


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Prompt:
Please also provide the file in XML

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Response:

The XML version of the dataset has been created. You can download it here:

👉 [Download sample\_employee\_data.xml](sandbox:/mnt/data/sample_employee_data.xml)

Let me know if you need schema definitions (like XSD) or further formatting adjustments.