Triple
T31717937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Marlantes |
E809496
|
entity |
| Predicate | militaryAwardedFor |
P19685
|
FINISHED |
| Object | heroism in combat in Vietnam |
—
|
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: heroism in combat in Vietnam | Statement: [Karl Marlantes, militaryAwardedFor, heroism in combat in Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryAwardedFor Context triple: [Karl Marlantes, militaryAwardedFor, heroism in combat in Vietnam]
-
A.
militaryAward
chosen
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
B.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
C.
militaryAwardType
Indicates the specific category or kind of military honor or decoration associated with an award.
-
D.
medalOfHonorFor
Indicates that one entity is awarded or associated with a Medal of Honor in recognition of actions or service performed by another entity.
-
E.
isGallantryAward
Indicates that the subject is a formal gallantry award, i.e., an honor conferred in recognition of exceptional bravery or valor.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 30, 2026, 11:17 p.m.