Triple
T11958924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gperftools |
E284620
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
tcmalloc
tcmalloc is a high-performance memory allocator designed to improve speed and reduce fragmentation in multithreaded C and C++ applications.
|
E284620
|
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: tcmalloc | Statement: [gperftools, hasComponent, tcmalloc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tcmalloc Context triple: [gperftools, hasComponent, tcmalloc]
-
A.
gperftools
gperftools is a Google-developed collection of performance analysis tools for C++ programs, including a fast memory allocator and CPU/heap profilers.
-
B.
TBB
TBB is the vehicle registration code used on license plates for the German town of Bad Mergentheim and its surrounding district.
-
C.
ZGC
ZGC is a low-latency, scalable garbage collector for the HotSpot JVM designed to handle very large heaps with minimal pause times.
-
D.
TCG (Tiny Code Generator)
TCG (Tiny Code Generator) is QEMU’s lightweight just-in-time compilation backend that translates guest machine instructions into efficient host machine code for fast emulation.
-
E.
SGen (generational garbage collector)
SGen is a generational garbage collector used by the Mono runtime to improve memory management performance and reduce pause times for managed 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: tcmalloc Triple: [gperftools, hasComponent, tcmalloc]
Generated description
tcmalloc is a high-performance memory allocator designed to improve speed and reduce fragmentation in multithreaded C and C++ applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tcmalloc Target entity description: tcmalloc is a high-performance memory allocator designed to improve speed and reduce fragmentation in multithreaded C and C++ applications.
-
A.
gperftools
chosen
gperftools is a Google-developed collection of performance analysis tools for C++ programs, including a fast memory allocator and CPU/heap profilers.
-
B.
TBB
TBB is the vehicle registration code used on license plates for the German town of Bad Mergentheim and its surrounding district.
-
C.
ZGC
ZGC is a low-latency, scalable garbage collector for the HotSpot JVM designed to handle very large heaps with minimal pause times.
-
D.
TCG (Tiny Code Generator)
TCG (Tiny Code Generator) is QEMU’s lightweight just-in-time compilation backend that translates guest machine instructions into efficient host machine code for fast emulation.
-
E.
SGen (generational garbage collector)
SGen is a generational garbage collector used by the Mono runtime to improve memory management performance and reduce pause times for managed applications.
- F. None of above.
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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459210d1c8190953cd01da3d2ad04 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f4645ef63881909b46937f73d637a3 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f465be4db08190882898a17d077019 |
completed | May 1, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:45 p.m.