Triple
T887000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayato Ikeda |
E19151
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hayato Ikeda |
E19151
|
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: Hayato Ikeda | Statement: [Hayato Ikeda, name, Hayato Ikeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayato Ikeda Context triple: [Hayato Ikeda, name, Hayato Ikeda]
-
A.
Hayato Ikeda
chosen
Hayato Ikeda was a Japanese prime minister known for his “income-doubling plan” and for overseeing rapid economic growth and modernization in postwar Japan.
-
B.
Daisuke Kato
Daisuke Kato is a former Japanese professional baseball player best known for his time with the Orix Buffaloes in Nippon Professional Baseball.
-
C.
Kenta Izumi
Kenta Izumi is a Japanese politician who serves as the leader of the main opposition force, the Constitutional Democratic Party of Japan.
-
D.
Tomonori Kanemoto
Tomonori Kanemoto is a former Japanese professional baseball outfielder and manager, best known as an ironman of Nippon Professional Baseball for his consecutive games and innings played streaks.
-
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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace8b8688190ac065f92c017adec |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6eff89888190984c1be0a02f7295 |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:39 p.m.