Triple
T34314081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranald S. Mackenzie |
E880529
|
entity |
| Predicate | classRankAtWestPoint |
P73023
|
FINISHED |
| Object | first in his class |
—
|
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: first in his class | Statement: [Ranald S. Mackenzie, classRankAtWestPoint, first in his class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classRankAtWestPoint Context triple: [Ranald S. Mackenzie, classRankAtWestPoint, first in his class]
-
A.
classRankAtUSMA
chosen
Indicates the relative academic or overall standing an individual holds within their class at the United States Military Academy (USMA).
-
B.
classRank
Indicates the relative academic standing or position of an entity within a class or cohort based on performance or criteria.
-
C.
correspondingRankInUSMarineCorps
Indicates the rank in the U.S. Marine Corps that is equivalent or comparable to a given rank in another organization or service.
-
D.
correspondingRankInUSArmy
Indicates that one military rank is the equivalent or closest matching rank within the hierarchy of the United States Army.
-
E.
militaryRankOfPrecedence
Indicates the relative seniority or priority order of a military rank compared to other ranks.
- 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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:57 a.m.