Triple
T1485918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyuji Fujikawa |
E29462
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kyuji |
E29462
|
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: Kyuji | Statement: [Kyuji Fujikawa, givenName, Kyuji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyuji Context triple: [Kyuji Fujikawa, givenName, Kyuji]
-
A.
Yuji
Yuji is a common Japanese masculine given name used by various real and fictional individuals.
-
B.
Kiyoshi Katsuki
Kiyoshi Katsuki was an Imperial Japanese Army general who played a leading role in Japan’s early Second Sino-Japanese War campaigns, including high-level command during the Battle of Shanghai in 1937.
-
C.
Kyuji Fujikawa
chosen
Kyuji Fujikawa is a Japanese professional baseball pitcher best known as a dominant closer in Nippon Professional Baseball and a longtime star for the Hanshin Tigers.
-
D.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
-
E.
Masayuki
Masayuki 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a1d8448190b3c90bb82fd806fe |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc986352881909dcc435095bc0f8f |
completed | March 8, 2026, 7:09 p.m. |
Created at: March 1, 2026, 8:12 p.m.