Triple
T8596502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masayuki Kakefu |
E203560
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kakefu |
E203560
|
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: Kakefu | Statement: [Masayuki Kakefu, familyName, Kakefu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kakefu Context triple: [Masayuki Kakefu, familyName, Kakefu]
-
A.
Kakefu
chosen
Kakefu is a Japanese surname most notably associated with former professional baseball player Masayuki Kakefu.
-
B.
Tatsuno Kingo
Tatsuno Kingo was a prominent Japanese architect of the Meiji era, best known for pioneering Western-style brick architecture in Japan and designing landmark buildings such as Tokyo Station.
-
C.
Andō Rikichi
Andō Rikichi was a Japanese military officer and colonial administrator who served in prominent leadership roles in Taiwan during the period of Japanese rule.
-
D.
Sesshū Tōyō
Sesshū Tōyō was a preeminent Japanese Zen Buddhist monk and ink painter renowned for his powerful monochrome landscapes and profound influence on the development of Japanese ink painting.
-
E.
Hara Sankei
Hara Sankei was a Japanese businessman and art patron best known for creating and developing the historic Sankeien Garden in Yokohama.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8d3fcfc8190bc51a38715ed453e |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:23 p.m.