Triple
T11539587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 井深大 |
E273637
|
entity |
| Predicate | hasWritten |
P2831
|
FINISHED |
| Object | 『わが友本田宗一郎』 |
E91035
|
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: 『わが友本田宗一郎』 | Statement: [井深大, hasWritten, 『わが友本田宗一郎』]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 『わが友本田宗一郎』 Context triple: [井深大, hasWritten, 『わが友本田宗一郎』]
-
A.
Nihon Goraku Bussan
Nihon Goraku Bussan was the original Japanese company that evolved into Sega, a major video game and entertainment corporation.
-
B.
Otorimonogatari
Otorimonogatari is a light novel volume in Nisio Isin's Monogatari Series, focusing on Nadeko Sengoku and her increasingly dark, supernatural character arc.
-
C.
Kantarō Suzuki
Kantarō Suzuki was a Japanese admiral and statesman who served as prime minister during the final months of World War II and oversaw Japan’s decision to surrender.
-
D.
So Taguchi
So Taguchi is a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball, notably winning a World Series with the St. Louis Cardinals.
-
E.
Soichiro Honda
chosen
Soichiro Honda was a pioneering Japanese engineer and entrepreneur who built Honda from a small workshop into one of the world’s leading automobile and motorcycle manufacturers.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685ab77908190ac5d59cf2b8c96bf |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.