Triple
T25082898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Blunt |
E628230
|
entity |
| Predicate | exposedAsSpy |
P102078
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Anthony Blunt, exposedAsSpy, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposedAsSpy Context triple: [Anthony Blunt, exposedAsSpy, 1979]
-
A.
spiedFor
Indicates that one entity secretly gathered and provided information on behalf of another entity, typically an intelligence service or organization.
-
B.
exposedAs
Indicates that one entity reveals or publicly identifies another entity as having a hidden, false, or previously concealed role, identity, or nature.
-
C.
spiedOn
Indicates that one entity secretly observed or gathered information about another entity without their knowledge or consent.
-
D.
wasExposedAs
chosen
Indicates that an entity was revealed or uncovered as having a particular hidden identity, role, or wrongdoing.
-
E.
mockedBy
Indicates that one entity ridicules, teases, or makes fun 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e18c288190a0d06a7756fed024 |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:22 a.m.