Triple
T6336644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Soldier and the State |
E142506
|
entity |
| Predicate | setsForthConcept |
P41885
|
FINISHED |
| Object | objective civilian control |
—
|
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: objective civilian control | Statement: [The Soldier and the State, setsForthConcept, objective civilian control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsForthConcept Context triple: [The Soldier and the State, setsForthConcept, objective civilian control]
-
A.
setsForth
chosen
Indicates that an entity formally presents, explains, or lays out something such as a plan, argument, rule, or proposal.
-
B.
introducedConcept
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
-
C.
setsInMotion
Indicates initiating movement or causing an entity to begin moving or proceeding from a state of rest.
-
D.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
E.
dedicatedToConcept
Indicates that something is specifically devoted, committed, or purposefully directed toward a particular concept or abstract idea.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654c63508190b51f7b622388e5ad |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.