Triple
T7325133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsuya Nomura |
E168851
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Nomo-san |
E168851
|
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: Nomo-san | Statement: [Katsuya Nomura, hasNickname, Nomo-san]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nomo-san Context triple: [Katsuya Nomura, hasNickname, Nomo-san]
-
A.
Nomo-san
chosen
Nomo-san is the affectionate nickname of Katsuya Nomura, a legendary Japanese baseball catcher and manager renowned for his prolific hitting and strategic acumen.
-
B.
Nōmi
Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
-
C.
Akinobu
Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
-
D.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
-
E.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0a1200819089fe3e18493d8bee |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:03 p.m.