Triple
T16325050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nogi Maresuke |
E396388
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Nogi Katsunori |
—
|
NE NERFINISHED |
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: Nogi Katsunori | Statement: [Nogi Maresuke, child, Nogi Katsunori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nogi Katsunori Context triple: [Nogi Maresuke, child, Nogi Katsunori]
-
A.
Nogi Yasunori
chosen
Nogi Yasunori was a Japanese nobleman and military officer of the Meiji era, best known as the son of General Nogi Maresuke.
-
B.
Shuto Ikō
Shuto Ikō is a Japanese educational institution based in Tokyo, known for offering specialized vocational and professional training programs.
-
C.
Kotaro Nogami
Kotaro Nogami is a Japanese politician who served as Minister of Agriculture, Forestry and Fisheries in the Suga Cabinet.
-
D.
Takehiro Izushi
Takehiro Izushi is a Japanese video game producer best known for his work at Nintendo, including leading development on titles such as Mario Kart: Super Circuit.
-
E.
Tanaka Koki
Tanaka Koki is a Japanese entertainer best known as a former member of the popular boy band KAT-TUN.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b9dcb88190beb0ca2206729175 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:06 a.m.