Triple
T5240391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashbehari Bose |
E118324
|
entity |
| Predicate | motherInLaw |
P18075
|
FINISHED |
| Object | Kokkō Sōma |
E518402
|
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: Kokkō Sōma | Statement: [Rashbehari Bose, motherInLaw, Kokkō Sōma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kokkō Sōma Context triple: [Rashbehari Bose, motherInLaw, Kokkō Sōma]
-
A.
Aizō Sōma
chosen
Aizō Sōma was a Japanese businessman and nationalist known for supporting anti-imperialist movements and providing aid to Indian revolutionary Rashbehari Bose.
-
B.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
-
C.
Saitō Makoto
Saitō Makoto was a Japanese admiral and statesman who served as Governor-General of Korea and later as Prime Minister of Japan during the early Shōwa period.
-
D.
Hiranuma
Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
E.
Kentarō
Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2a52fc8190a22631e1853c74a3 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41130abc8190832b2332cd19f86a |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 1:49 p.m.