Triple
T9785042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant (United States Space Force) |
E237472
|
entity |
| Predicate | nonCommissionedOfficer |
P90638
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sergeant (United States Space Force), nonCommissionedOfficer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonCommissionedOfficer Context triple: [Sergeant (United States Space Force), nonCommissionedOfficer, true]
-
A.
commissionedOfficerRank
Indicates that one entity holds a rank that qualifies them as a commissioned officer in a formal organizational hierarchy.
-
B.
highestNonCommissionedRank
Indicates that the subject holds the top position among all non-commissioned ranks within a given hierarchy or organization.
-
C.
officerCorps
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
-
D.
neverCommissioned
Indicates that an entity was created or intended for service but was never formally placed into active duty or official use.
-
E.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
- F. None of above. chosen
Provenance (4 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b8b0a481909d9f7a25881d53be |
completed | April 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:27 p.m.