Triple
T19799085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry O. Flipper |
E475621
|
entity |
| Predicate | militaryStatusChange |
P137369
|
FINISHED |
| Object | dismissed from the U.S. 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: dismissed from the U.S. Army | Statement: [Henry O. Flipper, militaryStatusChange, dismissed from the U.S. Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryStatusChange Context triple: [Henry O. Flipper, militaryStatusChange, dismissed from the U.S. Army]
-
A.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
B.
hasMilitaryStatus
Indicates that an entity possesses a specific military affiliation, role, or status (such as active duty, reserve, or veteran).
-
C.
stanceOnMilitaryService
Indicates an entity’s expressed position, attitude, or policy regarding military service.
-
D.
militaryBranchTransition
Indicates a change in an entity’s affiliation from one military branch to another.
-
E.
involvesMilitaryChange
Indicates that the situation or event includes a modification, reorganization, or shift in military forces, structures, capabilities, or operations.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c930a08190a2263db7170edd71 |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.