Triple

T12280926
Position Surface form Disambiguated ID Type / Status
Subject compiler-rt E292713 entity
Predicate supports P516 FINISHED
Object LeakSanitizer
LeakSanitizer is a memory error detection tool that identifies and reports memory leaks in programs at runtime, commonly used with Clang and LLVM.
 E973142 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: LeakSanitizer | Statement: [compiler-rt, supports, LeakSanitizer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LeakSanitizer
Context triple: [compiler-rt, supports, LeakSanitizer]
  • A. MemorySanitizer
    MemorySanitizer is an LLVM-based dynamic analysis tool that detects uses of uninitialized memory in programs at runtime.
  • B. AddressSanitizer
    AddressSanitizer is a fast memory error detector that instruments programs to find issues like buffer overflows and use-after-free bugs 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. SanitizerCoverage
    SanitizerCoverage is an LLVM feature that instruments code to provide fine-grained coverage and runtime checks useful for fuzzing and bug detection.
  • 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: LeakSanitizer
Triple: [compiler-rt, supports, LeakSanitizer]
Generated description
LeakSanitizer is a memory error detection tool that identifies and reports memory leaks in programs at runtime, commonly used with Clang and LLVM.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LeakSanitizer
Target entity description: LeakSanitizer is a memory error detection tool that identifies and reports memory leaks in programs at runtime, commonly used with Clang and LLVM.
  • A. MemorySanitizer
    MemorySanitizer is an LLVM-based dynamic analysis tool that detects uses of uninitialized memory in programs at runtime.
  • B. AddressSanitizer
    AddressSanitizer is a fast memory error detector that instruments programs to find issues like buffer overflows and use-after-free bugs 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. SanitizerCoverage
    SanitizerCoverage is an LLVM feature that instruments code to provide fine-grained coverage and runtime checks useful for fuzzing and bug detection.
  • 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_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.
NEDg Description generation batch_69f61f5bc1fc8190af9d74acc307ebe1 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62041f2408190ad320fec5283abdd completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:52 p.m.