Triple
T2946198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasker Award |
E79506
|
entity |
| Predicate | typicalAwardedBy |
P44139
|
FINISHED |
| Object | independent jury of scientists and public health leaders |
—
|
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: independent jury of scientists and public health leaders | Statement: [Lasker Award, typicalAwardedBy, independent jury of scientists and public health leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardedBy Context triple: [Lasker Award, typicalAwardedBy, independent jury of scientists and public health leaders]
-
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.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
-
D.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b3f86c819094526c2af611bfb5 |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:56 p.m.