Triple
T2829388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Charles Fields |
E62198
|
entity |
| Predicate | bequest |
P930
|
FINISHED |
| Object | funds to support the Fields Medal after his death |
—
|
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: funds to support the Fields Medal after his death | Statement: [John Charles Fields, bequest, funds to support the Fields Medal after his death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bequest Context triple: [John Charles Fields, bequest, funds to support the Fields Medal after his death]
-
A.
will
Indicates that an entity is going to perform an action or be in a certain state in the future.
-
B.
endowment
chosen
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
C.
donated
Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
-
D.
signedBeforeDeathOf
Indicates that one entity signed something at a time earlier than the death of another specified entity.
-
E.
sacrifice
Indicates giving up something of value, often for the benefit, protection, or advantage of another entity or goal.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.