Your task is to detect named entities of type of company, location, person or organization in the following sentences.
Assign each named entity one of the following roles: false, perpetrator.

Here are some examples:

Input: "If convicted on the murder charge, NAME_1 faces a maximum penalty of life in prison or the death penalty. The mail fraud charge carries a maximum prison sentence of 20 years. A 15-day jury trial is expected to begin Feb. 28"
Output: [{'name': 'NAME_1', 'type': 'person', 'role': 'perpetrator', 'start': 43, 'end': 59}]

Input: "In another case, NAME_2, a resident of Tetu in Nyeri county, accused Kenya Power of disconnecting his electricity despite having paid his bill on time".
Output: [
    {'name': 'NAME_2', 'type': 'person', 'role': 'false', 'start': 25, 'end': 38},
    {'name': 'Tetu', 'type': 'location', 'role': 'false', 'start': 54, 'end': 58},
    {'name': 'Nyeri', 'type': 'location', 'role': 'false', 'start': 62, 'end': 67},
    {'name': 'Kenya Power', 'type': 'company', 'role': 'perpetrator', 'start': 84, 'end': 95}
]

Input: "Bringing the good news today to HE Prime Minister NAME_3 that Iraq has been taken off the list of countries at high risk of money laundering by the EU. Will pave the way for deepening financial cooperation and investment."
Output: