Triple
T35270776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Honor |
E1018659
|
entity |
| Predicate | awardedInNameOf |
P26831
|
FINISHED |
| Object | Congress |
—
|
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: Congress | Statement: [Medal of Honor, awardedInNameOf, Congress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedInNameOf Context triple: [Medal of Honor, awardedInNameOf, Congress]
-
A.
grantedInNameOf
chosen
Indicates that a right, permission, or authority is conferred while explicitly invoking or acting under the name or authority of a specified entity.
-
B.
awardedFrom
Indicates that one entity has received an award, prize, or honor that originates from or is granted by another entity.
-
C.
namedForAward
Indicates that an entity is named in honor of a particular award.
-
D.
isGivenInHonorOf
Indicates that something (such as an award, gift, or event) is presented or dedicated as a mark of respect or recognition for a particular person or entity.
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 3, 2026, 4:02 p.m.