Triple
T22388672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Heidnik |
E553459
|
entity |
| Predicate | causeOfDischargeFromMilitary |
P136150
|
FINISHED |
| Object | honorable discharge for medical reasons |
—
|
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: honorable discharge for medical reasons | Statement: [Gary Heidnik, causeOfDischargeFromMilitary, honorable discharge for medical reasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDischargeFromMilitary Context triple: [Gary Heidnik, causeOfDischargeFromMilitary, honorable discharge for medical reasons]
-
A.
causeOfEndOfMilitaryCareer
chosen
Indicates the event, condition, or factor that brought about the termination of an entity’s military career.
-
B.
stanceOnMilitaryService
Indicates an entity’s expressed position, attitude, or policy regarding military service.
-
C.
retiredFromUSMilitary
Indicates that an individual previously served in the United States military and has formally ended their military career or service.
-
D.
dischargesFrom
Indicates that something (such as a fluid, substance, or energy) flows or is released out of a specified source or origin.
-
E.
hasDischarge
Indicates that one entity releases, emits, or expels a substance, energy, or flow from itself.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15858c13c819098fe66a50ecea7d7 |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.