Triple
T1718449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AppArmor |
E37339
|
entity |
| Predicate | userSpaceTool |
P28572
|
FINISHED |
| Object |
aa-logprof
aa-logprof is a userspace AppArmor utility that analyzes system logs to help generate and refine security profiles for applications.
|
E193777
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: aa-logprof | Statement: [AppArmor, userSpaceTool, aa-logprof]
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.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: aa-logprof Triple: [AppArmor, userSpaceTool, aa-logprof]
Generated description
aa-logprof is a userspace AppArmor utility that analyzes system logs to help generate and refine security profiles for applications.
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
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abaffc4e5c81908ce0b9cfe833445e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae6940c81909c1ebdfb0cdef5fc |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957bd63c819099a508ca5c4102cc |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b18f9c8190a9c5ed80b5ed0195 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.