Triple
T9393823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Vronsky |
E226091
|
entity |
| Predicate | warStatus |
P88699
|
FINISHED |
| Object | Vietnam War veteran |
—
|
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: Vietnam War veteran | Statement: [Michael Vronsky, warStatus, Vietnam War veteran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warStatus Context triple: [Michael Vronsky, warStatus, Vietnam War veteran]
-
A.
warFlag
Indicates that one entity has formally declared or is engaged in a state of war or armed conflict with another entity.
-
B.
warName
Indicates the specific name or title assigned to a particular war or armed conflict.
-
C.
warDeclaredOn
Indicates that one entity has formally initiated a state of war against another entity.
-
D.
warPhase
Indicates the specific stage or period within a war or armed conflict during which an event, action, or condition occurs.
-
E.
countryAtWarWith
Indicates that two countries are engaged in an active state of war or armed conflict with each other.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd511150008190be04142e477e8bf1 |
completed | April 1, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:45 p.m.