Triple
T17237268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 小泉 |
E418395
|
entity |
| Predicate | writingVariant |
P2203
|
FINISHED |
| Object | コイズミ |
E86419
|
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: コイズミ | Statement: [小泉, writingVariant, コイズミ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: コイズミ Context triple: [小泉, writingVariant, コイズミ]
-
A.
Kazunari Koizumi
Kazunari Koizumi is a Japanese politician who serves as the mayor of Narita in Chiba Prefecture.
-
B.
Koizumi
chosen
Koizumi is a Japanese surname most prominently associated with Junichiro Koizumi, a former Prime Minister of Japan known for his reformist policies.
-
C.
Azuma Koshiishi
Azuma Koshiishi is a Japanese politician and former teacher who became a senior leader of the Democratic Party of Japan, notably serving in key party management and organizational roles.
-
D.
Yuitsu Tsuchihashi
Yuitsu Tsuchihashi was a Japanese general who played a key leadership role in Japan’s military operations in French Indochina during World War II.
-
E.
Eri Kasamoto
Eri Kasamoto is a key playable character and demolitions expert in SNK's run-and-gun video game series Metal Slug.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfcf2608190b6935b79ea2ae946 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ef3110819097ac1346ae33ef94 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.