Triple
T9546516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazuo Inamori |
E230302
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kazuo |
E217623
|
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: Kazuo | Statement: [Kazuo Inamori, givenName, Kazuo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazuo Context triple: [Kazuo Inamori, givenName, Kazuo]
-
A.
Kazuo
chosen
Kazuo is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and sports.
-
B.
Kiyoshi Kimura
Kiyoshi Kimura was a Japanese military officer who commanded Imperial Japanese forces during World War II, notably in the Pacific theater.
-
C.
Jōtarō Watanabe
Jōtarō Watanabe was a Japanese figure who became historically known as one of the prominent victims killed during the 1936 February 26 Incident, an attempted military coup in Tokyo.
-
D.
Yosuke Kubozuka
Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
-
E.
Ryoji
Ryoji is a Japanese given name commonly used for males.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9902fca081909125660ae6336d3f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c747e608190b2fa470324fff454 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:02 p.m.