Triple
T3425101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenta Izumi |
E72210
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 泉健太 |
E72210
|
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: 泉健太 | Statement: [Kenta Izumi, nativeName, 泉健太]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 泉健太 Context triple: [Kenta Izumi, nativeName, 泉健太]
-
A.
伊東 祐亨
伊東祐亨は、日清戦争期に連合艦隊司令長官を務めた日本海軍の軍人・元帥である。
-
B.
古賀峯一
古賀峯一は、太平洋戦争中に連合艦隊司令長官を務めた日本海軍の軍人である。
-
C.
Takuma Tono
Takuma Tono was a Japanese landscape architect known for bringing traditional Japanese garden design to international prominence, including in the United States.
-
D.
Kenta Izumi
chosen
Kenta Izumi is a Japanese politician who serves as the leader of the main opposition force, the Constitutional Democratic Party of Japan.
-
E.
Kosuke Imai
Kosuke Imai is a political scientist and statistician known for his contributions to causal inference, experimental design, and statistical methods in the social sciences.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb97fa2d88190a79cb8c7be4b3696 |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354766bcc81909fb3124262c93f8f |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.