Triple
T4153346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugamo Prison |
E89958
|
entity |
| Predicate | notablePrisoner |
P15560
|
FINISHED |
| Object | Yōsuke Matsuoka |
E306625
|
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: Yōsuke Matsuoka | Statement: [Sugamo Prison, notablePrisoner, Yōsuke Matsuoka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yōsuke Matsuoka Context triple: [Sugamo Prison, notablePrisoner, Yōsuke Matsuoka]
-
A.
Yosuke Matsuoka
chosen
Yosuke Matsuoka was a prominent Japanese diplomat and foreign minister of the early Shōwa era, known for his role in Japan’s expansionist foreign policy leading up to and during World War II.
-
B.
Sankichi Takahashi
Sankichi Takahashi was an admiral in the Imperial Japanese Navy who rose to its top wartime command as Commander-in-Chief of the Combined Fleet during World War II.
-
C.
Saburō Kurusu
Saburō Kurusu was a Japanese diplomat best known for his role in U.S.-Japan negotiations immediately before the attack on Pearl Harbor.
-
D.
Sakon Yamamoto
Sakon Yamamoto is a Japanese racing driver best known for his stint in Formula One during the mid-2000s with several backmarker teams.
-
E.
Koichi Satō
Koichi Satō is a prominent Japanese actor known for his versatile performances in film, television, and theater.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0277a910819085cde5df9a8110d8 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9660842888190a9d37a5fd1830ccd |
completed | March 29, 2026, 5:48 p.m. |
Created at: March 9, 2026, 3:44 p.m.