Triple
T37656988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLAgentReaderRole |
E937626
|
entity |
| Predicate | isRelatedRole |
P188577
|
FINISHED |
| Object | SQLAgentUserRole |
—
|
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: SQLAgentUserRole | Statement: [SQLAgentReaderRole, isRelatedRole, SQLAgentUserRole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRelatedRole Context triple: [SQLAgentReaderRole, isRelatedRole, SQLAgentUserRole]
-
A.
hasRelativeRole
Indicates that one entity holds a familial or kinship-based role in relation to another entity.
-
B.
includesRoles
Indicates that one entity contains or encompasses one or more specified roles within its scope or structure.
-
C.
isRelatedName
Indicates that one name is connected to another through a variant, derivative, or otherwise non-identical but related naming relationship.
-
D.
refersToRole
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
E.
isRelatedUnit
Indicates that one unit has a defined relationship or association with another unit within a given system or context.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbaa108ee48190b84d13df3ef3e365 |
completed | May 6, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:18 p.m.