Triple
T8919232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzuki |
E212368
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Koji Suzuki |
E788395
|
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: Koji Suzuki | Statement: [Suzuki, hasNotableBearer, Koji Suzuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koji Suzuki Context triple: [Suzuki, hasNotableBearer, Koji Suzuki]
-
A.
Koji Suzuki
chosen
Koji Suzuki is a Japanese horror novelist best known internationally as the creator of the Ring series.
-
B.
Zenko Suzuki
Zenko Suzuki was a Japanese politician who served as Prime Minister of Japan in the early 1980s, leading the Liberal Democratic Party during a period of economic growth and shifting international relations.
-
C.
Michio Suzuki
Michio Suzuki was a Japanese industrialist and entrepreneur best known as the founder of the company that became Suzuki Motor Corporation, a major global manufacturer of automobiles and motorcycles.
-
D.
Akira Suzuki
Akira Suzuki is a Japanese chemist and Nobel laureate renowned for co-developing the Suzuki coupling reaction, a pivotal method in organic synthesis.
-
E.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b165fb0c81908c79b6ade3cca20e |
completed | April 4, 2026, 6:36 a.m. |
Created at: March 30, 2026, 6:56 p.m.