Triple
T8277767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Hickory |
E193588
|
entity |
| Predicate | associatedWithMilitaryRole |
P9463
|
FINISHED |
| Object | general in the United States Army |
—
|
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: general in the United States Army | Statement: [Old Hickory, associatedWithMilitaryRole, general in the United States Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMilitaryRole Context triple: [Old Hickory, associatedWithMilitaryRole, general in the United States Army]
-
A.
hasMilitaryAssociation
Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
-
B.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
hasMilitaryStatus
Indicates that an entity possesses a specific military affiliation, role, or status (such as active duty, reserve, or veteran).
-
D.
associatedWithMilitaryHistory
Indicates a relationship in which something is connected or relevant to military history, such as events, figures, institutions, or artifacts.
-
E.
hasMilitaryBranch
Indicates that an entity is associated with, served in, or is part of a specific branch of a military organization.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ebb6b88190bc777b8bd72fcdbc |
completed | March 31, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:51 p.m.