Your task is to detect named entities of type company, location, person or organization, in the following sentences.
Assign each named entity one of the following roles:
perpetrator, if the entity is involved in or accused of a fraud or corruption case,
false, if the entity is not.

Here are some examples to get you started:

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'}]

Input: "In another case, NAME_2 NAME_3, 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 NAME_3', 'type': 'person', 'role': 'false'},
    {'name': 'Tetu', 'type': 'location', 'role': 'false'},
    {'name': 'Nyeri', 'type': 'location', 'role': 'false'},
    {'name': 'Kenya Power', 'type': 'company', 'role': 'perpetrator'}
]

Input: NEW DELHI: The Enforcement Directorate has attached journalist NAME_4's properties in Delhi worth over Rs 48 lakh in a case related to spying for China and money laundering. It alleged that the amount was proceeds of crime received from Chinese intelligence agencies.
Output: Give two different versions of responses. Please separate the responses with 6 asterisk symbols: ******.
user