Triple
T10250384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Academy Prize |
E240323
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | Leo Esaki |
E35746
|
NE 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: Leo Esaki | Statement: [Japan Academy Prize, hasRecipient, Leo Esaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo Esaki Context triple: [Japan Academy Prize, hasRecipient, Leo Esaki]
-
A.
Leo Esaki
chosen
Leo Esaki is a Japanese physicist and Nobel laureate renowned for his pioneering work on quantum tunneling and the invention of the Esaki (tunnel) diode.
-
B.
Isamu Akasaki
Isamu Akasaki was a Japanese physicist and Nobel laureate renowned for pioneering the development of efficient blue light-emitting diodes (LEDs), which revolutionized lighting and display technologies.
-
C.
John Giaever
John Giaever is the son of Norwegian-American physicist and Nobel laureate Ivar Giaever.
-
D.
Ivar Giaever
Ivar Giaever is a Norwegian-American physicist and Nobel laureate recognized for his pioneering work on quantum tunneling in superconductors.
-
E.
Yoshio Nakamura
Yoshio Nakamura is a Japanese judoka and Olympic medalist known for his achievements in international judo competitions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23d7300819095971560759cf456 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cc82110819095fb77eb964d23bd |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:28 a.m.