Triple
T31582881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows NT security model |
E805871
|
entity |
| Predicate | securityDescriptorContains |
P89420
|
FINISHED |
| Object | owner SID |
—
|
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: owner SID | Statement: [Windows NT security model, securityDescriptorContains, owner SID]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityDescriptorContains Context triple: [Windows NT security model, securityDescriptorContains, owner SID]
-
A.
hasSecurityDimensionWith
Indicates that one entity is associated with a specific security-related aspect, characteristic, or dimension of another entity.
-
B.
hasSecurityAccessControl
chosen
Indicates that an entity enforces or is associated with mechanisms that regulate and control access to resources or information for security purposes.
-
C.
hasSecurityClass
Indicates that an entity is assigned to or associated with a particular security classification level.
-
D.
securityAttributesUsage
Indicates how security-related attributes are applied, enforced, or utilized within a given context or system.
-
E.
hasSecurityRelationship
Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection of 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_69f348d3a86c8190a3e5e539a4dd125f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 30, 2026, 10:24 p.m.