Triple
T16591502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inazo Nitobe |
E403098
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Inazo |
E349087
|
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: Inazo | Statement: [Inazo Nitobe, givenName, Inazo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inazo Context triple: [Inazo Nitobe, givenName, Inazo]
-
A.
Inazo
chosen
Inazo is a Japanese given name most famously borne by Inazo Nitobe, a prominent educator, diplomat, and author of "Bushido: The Soul of Japan."
-
B.
Ishiba
Ishiba is a Japanese surname most prominently associated with politician Shigeru Ishiba, a long-serving member of Japan’s Liberal Democratic Party and former defense minister.
-
C.
Takeo
Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
-
D.
Sabusawa
Sabusawa is a Japanese surname notably borne by Mari Yoriko Sabusawa, an American civic leader and wife of author James A. Michener.
-
E.
Takeshita
Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359a123e8819095cd73cd848a3345 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759b9e5081909815d2cd00d44490 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.