Triple
T28615972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HeapAlloc |
E724272
|
entity |
| Predicate | memoryOwnership |
P93637
|
FINISHED |
| Object | caller must free with HeapFree |
—
|
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: caller must free with HeapFree | Statement: [HeapAlloc, memoryOwnership, caller must free with HeapFree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryOwnership Context triple: [HeapAlloc, memoryOwnership, caller must free with HeapFree]
-
A.
bufferOwnershipModel
chosen
Indicates how responsibility for managing and releasing a data buffer is assigned between interacting components or systems.
-
B.
privateOwnership
Indicates that a specified entity holds legal ownership or control over something in a private, non-public capacity.
-
C.
targetOwnership
Indicates that one entity holds ownership or proprietary control over the target entity.
-
D.
sharesMemoryFor
Indicates that one entity uses or participates in a memory region, resource, or context that is also used by another entity.
-
E.
memoryRegion
Indicates a relationship where one entity represents or refers to a specific region or segment within a larger memory space.
- 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_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 4:31 a.m.