Triple
T372298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Michael Bishop |
E8292
|
entity |
| Predicate | nobelPrizeYear |
P1862
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [J. Michael Bishop, nobelPrizeYear, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobelPrizeYear Context triple: [J. Michael Bishop, nobelPrizeYear, 1989]
-
A.
NobelPrizeYear
chosen
Indicates the specific year in which an entity received or was awarded a Nobel Prize.
-
B.
ageAtNobelPrize
Indicates the age a person was when they received a Nobel Prize.
-
C.
typicalNumberOfLaureatesPerYear
Indicates the usual or average number of laureates associated with a given award or context in a single year.
-
D.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
E.
nobelPrizeRelated
Indicates that there is a connection or association between an entity and the Nobel Prize, such as receiving, being nominated for, or otherwise being significantly linked to it.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec00785481908551fc3571fcca47 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e960d880819084b3df4e5137a1e2 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.