Triple
T7895121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ILOVEYOU worm |
E183324
|
entity |
| Predicate | usedVulnerability |
P67454
|
FINISHED |
| Object | default Windows setting hiding known file extensions |
—
|
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: default Windows setting hiding known file extensions | Statement: [ILOVEYOU worm, usedVulnerability, default Windows setting hiding known file extensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedVulnerability Context triple: [ILOVEYOU worm, usedVulnerability, default Windows setting hiding known file extensions]
-
A.
associatedWithVulnerability
chosen
Indicates a relationship where an entity is linked to, affected by, or relevant to a specific vulnerability or security weakness.
-
B.
vulnerabilityType
Indicates the specific kind or category of vulnerability associated with an entity or situation.
-
C.
usedByTool
Indicates that a particular tool is employed or operated by a specified agent or entity.
-
D.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
E.
earlyExploitationBy
Indicates that one entity takes unfair advantage of another at an early stage of their interaction, development, or process.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a174574819084270dbb6fcbb7fe |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.