Triple
T1460733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobel Committee for Physiology or Medicine |
E31504
|
entity |
| Predicate | typeOfPrizeHandled |
P735
|
FINISHED |
| Object | annual 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 prize | Statement: [Nobel Committee for Physiology or Medicine, typeOfPrizeHandled, annual prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPrizeHandled Context triple: [Nobel Committee for Physiology or Medicine, typeOfPrizeHandled, annual prize]
-
A.
prizeType
chosen
Indicates the specific category or kind of prize associated with an entity or event.
-
B.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
-
C.
winnerReceives
Indicates that the entity identified as the winner is granted or awarded the specified item, benefit, or outcome as a result of winning.
-
D.
prizeOfficialName
Indicates the formal, officially recognized name assigned to a prize.
-
E.
isNonPlayingAward
Indicates that an award is given for contributions not involving active participation in the game or performance itself.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59d6dd88190b8ff3bda90aef7e2 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.