Triple
T31818097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Yin |
E812190
|
entity |
| Predicate | firstTangPrizeAwarded |
—
|
GENERATED |
| Object | 2014 |
—
|
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: firstTangPrizeAwarded Context triple: [Samuel Yin, firstTangPrizeAwarded, 2014]
-
A.
yearFoundedTangPrize
Indicates the year in which the Tang Prize was established or founded.
-
B.
firstAwarded
chosen
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
C.
firstClassAwardedTo
Indicates that a first-class distinction, honor, or top-level award is given to a particular recipient.
-
D.
isOneOfFirstCenturyPrizes
Indicates that an entity belongs to the set of prizes awarded during the first century of a particular event or institution.
-
E.
awardedForFirstTimeTo
Indicates that an entity receives an award or recognition for the very first time.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:45 p.m.