Triple
T30085340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Fama Prize |
E764586
|
entity |
| Predicate | isPrizeOf |
P141806
|
FINISHED |
| Object | economics discipline |
—
|
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: economics discipline | Statement: [Eugene Fama Prize, isPrizeOf, economics discipline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrizeOf Context triple: [Eugene Fama Prize, isPrizeOf, economics discipline]
-
A.
isNamedPrizeOf
Indicates that one entity is the official name of a prize or award associated with another entity.
-
B.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
C.
offeredAsPrizeFor
chosen
Indicates that one entity is presented or given as a reward or prize in connection with another entity, such as an event, contest, or achievement.
-
D.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
E.
tookPrize
Indicates that one entity received or accepted a prize or award from another entity or event.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 7:04 p.m.