Triple
T375103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chern Medal |
E8354
|
entity |
| Predicate | monetaryAwardUsage |
P8142
|
FINISHED |
| Object | support of mathematical research |
—
|
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: support of mathematical research | Statement: [Chern Medal, monetaryAwardUsage, support of mathematical research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monetaryAwardUsage Context triple: [Chern Medal, monetaryAwardUsage, support of mathematical research]
-
A.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
B.
carriesMonetaryGrant
chosen
Indicates that one entity provides or includes a monetary grant for another entity or purpose.
-
C.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
D.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1585648190943f1c698e9b2d81 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96216048190873ae533fa5b864d |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.