Triple
T37656978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLAgentReaderRole |
E937626
|
entity |
| Predicate | cannotStart |
P122299
|
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, cannotStart, SQL Server Agent jobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotStart Context triple: [SQLAgentReaderRole, cannotStart, SQL Server Agent jobs]
-
A.
cannot
Indicates that one entity lacks the ability, permission, or possibility to perform an action or participate in a specified relationship with another entity.
-
B.
cannotForm
Indicates that one entity is unable or not permitted to establish, create, or constitute a specified relationship, structure, or configuration with another entity.
-
C.
cannotOriginate
chosen
Indicates that one entity is unable or not permitted to be the source or starting point of another entity, event, or process.
-
D.
cannotIntroduce
Indicates that one entity is not permitted or able to introduce another entity (such as a person, concept, or item) into a given context or to a third party.
-
E.
cannotTarget
Indicates that one entity is unable or not permitted to select or act upon another entity as a target.
- 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_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:18 p.m.