Triple
T2000446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bates Clark Medal |
E43456
|
entity |
| Predicate | typicalAwardedFor |
P107
|
FINISHED |
| Object | theoretical economics |
—
|
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: theoretical economics | Statement: [John Bates Clark Medal, typicalAwardedFor, theoretical economics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardedFor Context triple: [John Bates Clark Medal, typicalAwardedFor, theoretical economics]
-
A.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
B.
typicalAwardDate
Indicates the date on which an award is customarily or normally given or conferred.
-
C.
typicalLaureateType
Indicates the usual or most common type or category of laureate associated with something.
-
D.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb87f78f0819098e787a5f3e062fd |
completed | March 7, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69abb79e63c08190982c8b44a557266f |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.