Triple
T10250393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Academy Prize |
E240323
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | Hiroshi Amano |
E59837
|
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: Hiroshi Amano | Statement: [Japan Academy Prize, hasRecipient, Hiroshi Amano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroshi Amano Context triple: [Japan Academy Prize, hasRecipient, Hiroshi Amano]
-
A.
Hiroshi Amano
chosen
Hiroshi Amano is a Japanese physicist and Nobel laureate renowned for his pioneering work on blue light-emitting diodes (LEDs) and semiconductor technology.
-
B.
Norio Miyaura
Norio Miyaura is a Japanese chemist renowned for co-developing the Suzuki–Miyaura cross-coupling reaction, a pivotal method in organic synthesis.
-
C.
Shogo Akiyama
Shogo Akiyama is a Japanese professional baseball outfielder known for his standout career in Nippon Professional Baseball and later stint in Major League Baseball.
-
D.
Noboru Kawazoe
Noboru Kawazoe was a Japanese architect and critic closely associated with the Metabolism movement, contributing to its theoretical foundations and promotion.
-
E.
Masanobu Takayanagi
Masanobu Takayanagi is a Japanese cinematographer known for his work on acclaimed films such as Silver Linings Playbook, Spotlight, and Warrior.
- 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_69d90d66ae248190b8af31b032f9f857 |
completed | April 10, 2026, 2:47 p.m. |
Created at: April 6, 2026, 11:28 a.m.