Triple
T27755560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IUnknown |
E701323
|
entity |
| Predicate | errorReporting |
P164529
|
FINISHED |
| Object | QueryInterface returns HRESULT |
—
|
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: QueryInterface returns HRESULT | Statement: [IUnknown, errorReporting, QueryInterface returns HRESULT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorReporting Context triple: [IUnknown, errorReporting, QueryInterface returns HRESULT]
-
A.
errorOn
Indicates that one entity experiences, produces, or is associated with an error in relation to another entity or context.
-
B.
errorType
Indicates the specific category or kind of error associated with an event, action, or entity.
-
C.
errorRecovery
Indicates that an entity detects a failure or error condition and initiates actions to restore normal or acceptable operation.
-
D.
errorPropagation
Indicates how an error in one component, process, or variable is transmitted to and affects other components, processes, or variables in a system.
-
E.
errorPhase
Indicates the specific stage or phase in a process or workflow during which an error occurred.
- F. None of above. chosen
Provenance (4 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 4:23 p.m.