Triple
T13520649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William S. Knowles |
E322883
|
entity |
| Predicate | sharesNobelPrizeWith |
P1859
|
FINISHED |
| Object | Ryoji Noyori |
—
|
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: Ryoji Noyori | Statement: [William S. Knowles, sharesNobelPrizeWith, Ryoji Noyori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryoji Noyori Context triple: [William S. Knowles, sharesNobelPrizeWith, Ryoji Noyori]
-
A.
Ryoji Noyori
chosen
Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications in organic synthesis.
-
B.
Nobuo Ogawa
Nobuo Ogawa is a Japanese businessman best known as the founder of Nichia Corporation, a leading global manufacturer of LEDs and phosphors.
-
C.
Tatsuo Miyajima
Tatsuo Miyajima is a contemporary Japanese artist renowned for his LED-based installations that explore time, change, and the nature of existence.
-
D.
Shigeo Hirose
Shigeo Hirose is a pioneering Japanese roboticist renowned for his innovative work in robot mechanisms and design, particularly in snake-like and walking robots.
-
E.
Yukio Aoshima
Yukio Aoshima was a Japanese television writer, comedian, and politician who served as governor of Tokyo in the 1990s.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa3df0c8190804174695587f0ea |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:44 p.m.