aa-logprof
E193777
aa-logprof is a userspace AppArmor utility that analyzes system logs to help generate and refine security profiles for applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| aa-logprof canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1718449 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: aa-logprof Context triple: [AppArmor, userSpaceTool, aa-logprof]
-
A.
gprof
gprof is a performance analysis tool that profiles program execution to help developers identify time-consuming functions and optimize their code.
-
B.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
-
C.
LOG
LOG is the ICAO airline designator assigned to Loganair, a regional airline based in Scotland.
-
D.
SQL Server Profiler
SQL Server Profiler is a graphical tool for monitoring, tracing, and analyzing SQL Server database engine events in real time to help with performance tuning and troubleshooting.
-
E.
DTrace
DTrace is a comprehensive dynamic tracing framework originally developed for Solaris that enables real-time, low-overhead observability and debugging of operating systems and applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: aa-logprof Target entity description: aa-logprof is a userspace AppArmor utility that analyzes system logs to help generate and refine security profiles for applications.
-
A.
gprof
gprof is a performance analysis tool that profiles program execution to help developers identify time-consuming functions and optimize their code.
-
B.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
-
C.
LOG
LOG is the ICAO airline designator assigned to Loganair, a regional airline based in Scotland.
-
D.
SQL Server Profiler
SQL Server Profiler is a graphical tool for monitoring, tracing, and analyzing SQL Server database engine events in real time to help with performance tuning and troubleshooting.
-
E.
DTrace
DTrace is a comprehensive dynamic tracing framework originally developed for Solaris that enables real-time, low-overhead observability and debugging of operating systems and applications.
- F. None of above. chosen
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
AppArmor utility
ⓘ
userspace security tool ⓘ |
| availableOn |
Debian
ⓘ
Ubuntu ⓘ openSUSE ⓘ other Linux distributions with AppArmor support ⓘ |
| implementedAs | command-line program ⓘ |
| includedIn | apparmor-utils package on many Linux distributions ⓘ |
| license | open source license (AppArmor project licensing) ⓘ |
| maintainedAsPartOf |
AppArmor project
ⓘ
linked to:
AppArmor
|
| operatesOn |
AppArmor audit messages
ⓘ
system log files ⓘ |
| partOf | AppArmor ⓘ |
| readsFrom |
/var/log/audit/audit.log
ⓘ
/var/log/messages ⓘ /var/log/syslog ⓘ |
| relatedTo |
aa-complain
ⓘ
aa-enforce ⓘ aa-genprof ⓘ aa-status ⓘ |
| requires |
AppArmor to be installed
ⓘ
root privileges on most systems ⓘ |
| runsIn | user space ⓘ |
| suggests | AppArmor profile rules based on logged denials ⓘ |
| supports |
interactive profile generation
ⓘ
interactive profile updating ⓘ merging new rules into existing profiles ⓘ reviewing suggested profile changes ⓘ |
| usedFor |
analyzing system logs
ⓘ
generating AppArmor profiles ⓘ refining AppArmor profiles ⓘ updating AppArmor profiles based on application behavior ⓘ |
| writesTo |
/etc/apparmor.d/
ⓘ
AppArmor profile files ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: aa-logprof Description of subject: aa-logprof is a userspace AppArmor utility that analyzes system logs to help generate and refine security profiles for applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.