Triple
T35518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of the Army |
E702
|
entity |
| Predicate | cannotBe |
P1817
|
FINISHED |
| Object | serving military officer |
—
|
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: serving military officer | Statement: [Secretary of the Army, cannotBe, serving military officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotBe Context triple: [Secretary of the Army, cannotBe, serving military officer]
-
A.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
B.
doesNotHave
chosen
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
C.
canRefer
Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
-
D.
allows
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
-
E.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24989c3308190af59dfae37cfc32f |
completed | Feb. 28, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69a24873e97c8190b9e4279e43b6de14 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.