Triple
T23950324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Crandall |
E603026
|
entity |
| Predicate | hasMilitaryAward |
P19685
|
FINISHED |
| Object | Air Medal |
—
|
NE NERFINISHED |
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: Air Medal | Statement: [Bruce Crandall, hasMilitaryAward, Air Medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMilitaryAward Context triple: [Bruce Crandall, hasMilitaryAward, Air Medal]
-
A.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
B.
militaryAward
chosen
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
isGallantryAward
Indicates that the subject is a formal gallantry award, i.e., an honor conferred in recognition of exceptional bravery or valor.
-
D.
militaryAwardType
Indicates the specific category or kind of military honor or decoration associated with an award.
-
E.
highestMilitaryDecoration
Indicates that the object is the most prestigious military award or honor that has been conferred upon the subject.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d03140f08190b4356626628ff56f |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:19 p.m.