Triple
T5246390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotiabank Giller Prize organization |
E118468
|
entity |
| Predicate | typeOfPrizeManaged |
P735
|
FINISHED |
| Object | annual literary prize |
—
|
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: annual literary prize | Statement: [Scotiabank Giller Prize organization, typeOfPrizeManaged, annual literary prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPrizeManaged Context triple: [Scotiabank Giller Prize organization, typeOfPrizeManaged, annual literary prize]
-
A.
prizeType
chosen
Indicates the specific category or kind of prize associated with an entity or event.
-
B.
prizeFundType
Indicates the type or category of a prize fund associated with an award, competition, or financial pool.
-
C.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
-
D.
prizeOfficialName
Indicates the formal, officially recognized name assigned to a prize.
-
E.
typeOfIncentive
Indicates the specific kind or category of incentive associated with an entity or action.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b5320748190bcf3be4b6c364f92 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.