Triple
T953881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Major Instructor |
E20582
|
entity |
| Predicate | mayHoldAppointment |
P7713
|
FINISHED |
| Object | Company Sergeant Major Instructor |
—
|
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: Company Sergeant Major Instructor | Statement: [Sergeant Major Instructor, mayHoldAppointment, Company Sergeant Major Instructor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHoldAppointment Context triple: [Sergeant Major Instructor, mayHoldAppointment, Company Sergeant Major Instructor]
-
A.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
B.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
C.
officeHolderMayBe
chosen
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
D.
appointedOrElected
Indicates that an entity attained a position, role, or office through either an appointment process or an electoral process.
-
E.
officeHoldersMustBe
Indicates that individuals who hold a particular office are required to possess a specified status, qualification, or characteristic.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3da8d508190b56b29d7f235d2c4 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.