Triple
T28638455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reach |
E724853
|
entity |
| Predicate | infiltrationTool |
P5659
|
FINISHED |
| Object | Blue Beetle scarab |
—
|
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: Blue Beetle scarab | Statement: [Reach, infiltrationTool, Blue Beetle scarab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infiltrationTool Context triple: [Reach, infiltrationTool, Blue Beetle scarab]
-
A.
methodOfInfiltration
Indicates the specific technique or approach used to secretly gain access to or penetrate a target, system, or organization.
-
B.
infiltratedBy
Indicates that an entity has been secretly entered, penetrated, or taken over by another entity, typically in a covert or unauthorized manner.
-
C.
infiltratesOrganization
Indicates that one entity secretly enters or gains access to an organization, typically without authorization, to observe, influence, or undermine it.
-
D.
intrusionStyle
Indicates the characteristic manner or method by which an intrusion or unauthorized access is carried out.
-
E.
attackToolExample
chosen
Indicates that a specific tool or method is used as an example of how an attack is or can be carried out.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a84f848190b5898ee7566fb84e |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:42 a.m.