Triple
T27622905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth F. McKenzie Jr. |
E696122
|
entity |
| Predicate | areaOfCommand |
P32961
|
FINISHED |
| Object | Middle East |
—
|
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: Middle East | Statement: [Kenneth F. McKenzie Jr., areaOfCommand, Middle East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfCommand Context triple: [Kenneth F. McKenzie Jr., areaOfCommand, Middle East]
-
A.
commandedRegion
chosen
Indicates that one entity had authoritative control or command over a specific geographic region.
-
B.
areaOfSupport
Indicates the spatial region or domain within which an entity provides support, assistance, or backing to another.
-
C.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
D.
strategicCommand
Indicates that one entity issues high-level, overarching directives or plans that guide the actions or decisions of another entity.
-
E.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 2:15 p.m.