Triple
T3097577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōyama Iwao |
E64635
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Iwao |
E64635
|
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: Iwao | Statement: [Ōyama Iwao, givenName, Iwao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iwao Context triple: [Ōyama Iwao, givenName, Iwao]
-
A.
Ōyama Iwao
chosen
Ōyama Iwao was a prominent Meiji-era Japanese field marshal and statesman who played key leadership roles in Japan’s early modern wars and military modernization.
-
B.
Hideo Saito
Hideo Saito was a prominent Japanese cellist and conductor renowned as a pioneering music educator who trained many leading conductors, including Seiji Ozawa.
-
C.
Masaru Ibuka
Masaru Ibuka was a Japanese electronics engineer and entrepreneur best known as the co-founder of Sony Corporation and a pioneer of Japan’s postwar consumer electronics industry.
-
D.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
-
E.
Kiyonao Ichiki
Kiyonao Ichiki was an Imperial Japanese Army officer best known for leading the ill-fated Ichiki Detachment during the Guadalcanal campaign in World War II.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23dde988190a1aca020685594f3 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f580e2488190bce70398502e11d4 |
completed | March 14, 2026, 11:55 p.m. |
Created at: March 8, 2026, 3:03 p.m.