Triple
T30351662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobel Prize in Chemistry |
E772009
|
entity |
| Predicate | typicalLaureateTitle |
—
|
GENERATED |
| Object | Nobel laureate in Chemistry |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLaureateTitle Context triple: [Nobel Prize in Chemistry, typicalLaureateTitle, Nobel laureate in Chemistry]
-
A.
typicalLaureateType
chosen
Indicates the usual or most common type or category of laureate associated with something.
-
B.
hasLaureateTitle
Indicates that an entity holds or is designated with a laureate title or honor (such as a prize or award laureateship).
-
C.
overallTitleAwarded
Indicates that an entity has been granted an overall title or top-level award in a given context or competition.
-
D.
laureateOccupation
Indicates the professional role or field in which a laureate is recognized or has worked.
-
E.
awardsTitle
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
- F. None of above.
Provenance (1 batch)
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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:56 p.m.