Triple
T17549750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leland H. Hartwell |
E427426
|
entity |
| Predicate | sharedNobelPrizeWith |
P1859
|
FINISHED |
| Object | Tim Hunt |
—
|
NE NERFINISHED |
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: Tim Hunt | Statement: [Leland H. Hartwell, sharedNobelPrizeWith, Tim Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Hunt Context triple: [Leland H. Hartwell, sharedNobelPrizeWith, Tim Hunt]
-
A.
Madeleine Gurdon
Madeleine Gurdon is a former British eventing rider and businesswoman, best known as the wife of composer Andrew Lloyd Webber and for her involvement in horse breeding and racing.
-
B.
Don Houghton
Don Houghton was a British television screenwriter best known for his work on series such as Doctor Who and Sapphire & Steel.
-
C.
Sir Tim Hunt
chosen
Sir Tim Hunt is a British biochemist and Nobel Prize laureate recognized for his discovery of key regulators of the cell cycle.
-
D.
Dennis Bray
Dennis Bray is a British biologist and author known for his influential work in cell biology and computational modeling of cellular behavior.
-
E.
Gregory Winter
Gregory Winter is a British molecular biologist and Nobel laureate renowned for pioneering therapeutic antibody technologies and founding biotech companies translating this work into medicines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45463ddf88190a2c29f3246adcb6e |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.