Triple
T28509618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infectious Media Generator |
E721445
|
entity |
| Predicate | categoryInSET |
P164863
|
FINISHED |
| Object | Infectious Media Generator Attacks |
—
|
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: Infectious Media Generator Attacks | Statement: [Infectious Media Generator, categoryInSET, Infectious Media Generator Attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryInSET Context triple: [Infectious Media Generator, categoryInSET, Infectious Media Generator Attacks]
-
A.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
B.
sampleCategory
Indicates that an item or instance belongs to, or is classified under, a particular sample category.
-
C.
catalogCategory
Indicates that an item or entity is assigned to, or belongs within, a specific catalog category.
-
D.
categoryDefinedIn
Indicates that a category is formally specified or established within a particular source, context, or definitional framework.
-
E.
settingCategory
Indicates the classification or type of context in which something is set or configured (e.g., grouping settings under a common category).
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 3:11 a.m.