Triple
T37656980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLAgentReaderRole |
E937626
|
entity |
| Predicate | cannotEnable |
P17604
|
FINISHED |
| Object | SQL Server Agent jobs |
—
|
NE NERFINISHED |
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: SQL Server Agent jobs | Statement: [SQLAgentReaderRole, cannotEnable, SQL Server Agent jobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotEnable Context triple: [SQLAgentReaderRole, cannotEnable, SQL Server Agent jobs]
-
A.
canEnable
Indicates that one entity has the capability or authority to activate, turn on, or make another entity or function operational.
-
B.
cannotGrant
Indicates that an entity lacks the authority, permission, or ability to confer a requested right, access, or resource to another entity.
-
C.
cannotChange
Indicates that an entity is unable or not permitted to alter the state, value, or properties of another entity or relationship.
-
D.
cannotTarget
Indicates that one entity is unable or not permitted to select or act upon another entity as a target.
-
E.
cannot
chosen
Indicates that one entity lacks the ability, permission, or possibility to perform an action or participate in a specified relationship with another entity.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:18 p.m.