Triple
T22876223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambda Papers |
E567332
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Multiprocessing Compactifying Garbage Collection” |
—
|
NE NERFINISHED |
How this triple was built (3 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: “Multiprocessing Compactifying Garbage Collection” | Statement: [Lambda Papers, hasPart, “Multiprocessing Compactifying Garbage Collection”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Multiprocessing Compactifying Garbage Collection” Context triple: [Lambda Papers, hasPart, “Multiprocessing Compactifying Garbage Collection”]
-
A.
Boehm-Demers-Weiser conservative GC
Boehm-Demers-Weiser conservative GC is a widely used garbage collection library for C and C++ programs that performs automatic memory management without requiring precise type information.
-
B.
Orinoco garbage collector
Orinoco garbage collector is V8’s low-latency, incremental and concurrent garbage collection system designed to improve JavaScript performance and responsiveness.
-
C.
Garbage Collector
Garbage Collector is the .NET runtime component responsible for automatically managing memory by allocating and reclaiming objects to prevent leaks and optimize performance.
-
D.
Automatic Storage Management
Automatic Storage Management is Oracle's integrated volume manager and file system that simplifies and optimizes the management of database storage.
-
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Multiprocessing Compactifying Garbage Collection” Target entity description: “Multiprocessing Compactifying Garbage Collection” is a research paper by Guy L. Steele Jr. and Gerald Jay Sussman that presents a garbage collection algorithm designed to work efficiently in multiprocessing environments while compacting memory.
-
A.
Boehm-Demers-Weiser conservative GC
Boehm-Demers-Weiser conservative GC is a widely used garbage collection library for C and C++ programs that performs automatic memory management without requiring precise type information.
-
B.
Orinoco garbage collector
Orinoco garbage collector is V8’s low-latency, incremental and concurrent garbage collection system designed to improve JavaScript performance and responsiveness.
-
C.
Garbage Collector
Garbage Collector is the .NET runtime component responsible for automatically managing memory by allocating and reclaiming objects to prevent leaks and optimize performance.
-
D.
Automatic Storage Management
Automatic Storage Management is Oracle's integrated volume manager and file system that simplifies and optimizes the management of database storage.
-
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
Provenance (2 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f58a7308190b710bdf013e2e114 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.