Triple
T976866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TED Prize |
E21072
|
entity |
| Predicate | typicalAwardAmount |
P22091
|
FINISHED |
| Object | 1000000 US dollars |
—
|
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: 1000000 US dollars | Statement: [TED Prize, typicalAwardAmount, 1000000 US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardAmount Context triple: [TED Prize, typicalAwardAmount, 1000000 US dollars]
-
A.
typicalAwardDate
Indicates the date on which an award is customarily or normally given or conferred.
-
B.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
C.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- F. None of above. chosen
Provenance (4 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46344048190b7a13b8f3ad9f455 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a8a3b08190b4538e119b13f7f5 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.