Triple
T12280922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | compiler-rt |
E292713
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | AddressSanitizer |
E292715
|
NE FINISHED |
How this triple was built (2 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: AddressSanitizer | Statement: [compiler-rt, supports, AddressSanitizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AddressSanitizer Context triple: [compiler-rt, supports, AddressSanitizer]
-
A.
AddressSanitizer
chosen
AddressSanitizer is a fast memory error detector that instruments programs to find issues like buffer overflows and use-after-free bugs at runtime.
-
B.
MemorySanitizer
MemorySanitizer is an LLVM-based dynamic analysis tool that detects uses of uninitialized memory in programs at runtime.
-
C.
ThreadSanitizer
ThreadSanitizer is a dynamic analysis tool that detects data races and threading errors in concurrent programs, commonly used within the LLVM/Clang toolchain.
-
D.
StackGuard
StackGuard is a compiler-based security technology that protects programs from stack-based buffer overflow attacks by inserting canary values to detect and prevent stack corruption.
-
E.
Address Space Layout Randomization (ASLR)
Address Space Layout Randomization (ASLR) is a security technique that randomly arranges the memory addresses used by key data areas of a process to make it harder for attackers to predict and exploit them.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.