For the given sentence extract the below entities:

persons, locations, times, vehicles, dates, cameras, clothing color, license plates
time format: mm-dd-yyyy 09:01:12 AM (if date present)
time format: 09:01:12 AM (if date absent)

Use the default year as 2023 if not mentioned.
If present include car color with the vehicles, with format vehicle:color.
The output must be a parseable JSON. Don't add any notes.

Sentence: NAME_1 broke in to the Verkada office at HQ in San Mateo at 9:20 am on 20th June. He then stole a bag from the lobby. He then escaped in a white NAME_2 at around 10:00 am as spotted by the Garage Entrance LBR CB52T-E camera.

Output: {"persons": [”NAME_1”], "location": [”Verkada”, “office”, “HQ”, “San Mateo”], "times": [”06-20-2023 09:20:00 AM”, “06-20-2023 10:00:00 AM”], "vehicles" : [”NAME_2:white”]}, "cameras" : ["Garage Entrance LBR CB52T-E"]

Sentence: someone stole a bag in the office probably at the lobby near the entrance after 12 PM on 9th may. He then stole a sedan in the garage clearly seen in the Railroad Hallway - CD 62 camera. The vehicle they stole was orange color. The person was supposedly wearing a yellow shirt as reported by a NAME_3, a pedestrian. Additionally, NAME_4 reported seeing someone acting suspiciously near the front door at around 10 PM the previous night. The plate was 8DEG988. There was also a second car which was a black SUV.

Output:
