Triple
T11657473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp |
E277046
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Tokuji Hayakawa |
E383929
|
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: Tokuji Hayakawa | Statement: [Sharp, foundedBy, Tokuji Hayakawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokuji Hayakawa Context triple: [Sharp, foundedBy, Tokuji Hayakawa]
-
A.
Tokuji Hayakawa
chosen
Tokuji Hayakawa was a Japanese inventor and entrepreneur best known for establishing the company that became Sharp Corporation and pioneering early consumer electronics products.
-
B.
Soichi Noguchi
Soichi Noguchi is a Japanese astronaut and aerospace engineer known for multiple spaceflights with NASA and JAXA, including long-duration missions to the International Space Station.
-
C.
Jun Satō
Jun Satō is a Japanese name shared by several notable individuals, including politicians, musicians, and athletes.
-
D.
Eisaku Tomioka
Eisaku Tomioka is a Japanese screenwriter best known for his extensive work on anime series, including contributions to popular franchises like Pokémon and Fairy Tail.
-
E.
Kazuo Satō
Kazuo Satō is a Japanese individual notable enough to be recognized as a distinct namesake, though specific widely known achievements or roles under this name are not clearly established.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef138faf4c81908043c71550048d75 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.