Triple
T13258861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SD-6 |
E315734
|
entity |
| Predicate | deceptionMethod |
P20150
|
FINISHED |
| Object | posing as a CIA black-ops unit |
—
|
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: posing as a CIA black-ops unit | Statement: [SD-6, deceptionMethod, posing as a CIA black-ops unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deceptionMethod Context triple: [SD-6, deceptionMethod, posing as a CIA black-ops unit]
-
A.
threatensDeceptionOf
Indicates that one entity poses or communicates a risk of deceiving or misleading another entity.
-
B.
disguisedAs
chosen
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
-
C.
methodOfDisappearance
Indicates the specific way or process by which an entity ceases to be present, visible, or existent.
-
D.
decoyType
Indicates that one entity functions as a decoy and specifies the type or category of that decoy in relation to another entity or context.
-
E.
tricked
Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.