Triple
T28615817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CreateThread |
E724269
|
entity |
| Predicate | threadEntryPointType |
P44371
|
FINISHED |
| Object | LPTHREAD_START_ROUTINE |
—
|
LITERAL 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: LPTHREAD_START_ROUTINE | Statement: [CreateThread, threadEntryPointType, LPTHREAD_START_ROUTINE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threadEntryPointType Context triple: [CreateThread, threadEntryPointType, LPTHREAD_START_ROUTINE]
-
A.
threadType
Indicates the classification or category of a thread based on its purpose, content, or communication style.
-
B.
threadConstruction
Indicates the process or method by which a thread (e.g., in textiles or computing) is created, structured, or set up.
-
C.
entryPointFor
Indicates that one entity serves as the access or starting location through which another entity is entered, initiated, or reached.
-
D.
programEntryMethod
chosen
Indicates that a method serves as the starting point or main entry method for executing a program or component.
-
E.
threadBehavior
Indicates how a thread operates or responds under certain conditions within a concurrent or multi-threaded context.
- F. None of above.
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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 4:31 a.m.