Triple
T31471976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Daniel Inouye |
E802883
|
entity |
| Predicate | namedForMilitaryHonor |
P116229
|
FINISHED |
| Object | Medal of Honor recipient |
—
|
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: Medal of Honor recipient | Statement: [USS Daniel Inouye, namedForMilitaryHonor, Medal of Honor recipient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForMilitaryHonor Context triple: [USS Daniel Inouye, namedForMilitaryHonor, Medal of Honor recipient]
-
A.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
B.
namedInHonorBy
chosen
Indicates that one entity has been used as the namesake or dedicatee by another entity, signifying that the latter is named in honor of the former.
-
C.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or 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.
countryOfHonor
Indicates the country that is formally recognized or designated as being honored in a particular context, event, or distinction.
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 30, 2026, 9:26 p.m.