<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'While investing a lot of resources in the development of this malware , the actor behind “ Agent Smith ” does not want a real update to remove all of the changes made , so here is where the “ patch ” module comes in to play With the sole purpose of disabling automatic updates for the infected application , this module observes the update directory for the original application and removes the file once it appears .' [/INST] [While:O, investing:O, a:O, lot:O, of:O, resources:O, in:O, the:O, development:O, of:O, this:O, malware:O, ,:O, the:O, actor:O, behind:O, “:O, Agent:B-Malware, Smith:I-Malware, ”:O, does:O, not:O, want:O, a:O, real:O, update:O, to:O, remove:O, all:O, of:O, the:O, changes:O, made:O, ,:O, so:O, here:O, is:O, where:O, the:O, “:O, patch:O, ”:O, module:O, comes:O, in:O, to:O, play:O, With:O, the:O, sole:O, purpose:O, of:O, disabling:O, automatic:O, updates:O, for:O, the:O, infected:O, application:O, ,:O, this:O, module:O, observes:O, the:O, update:O, directory:O, for:O, the:O, original:O, application:O, and:O, removes:O, the:O, file:O, once:O, it:O, appears:O, .:O] </s>