Triple
T5037116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 永野修身 |
E113452
|
entity |
| Predicate | ローマ字表記 |
P2508
|
FINISHED |
| Object | Osami Nagano |
E20724
|
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: Osami Nagano | Statement: [永野修身, ローマ字表記, Osami Nagano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osami Nagano Context triple: [永野修身, ローマ字表記, Osami Nagano]
-
A.
Osami Nagano
chosen
Osami Nagano was a Japanese admiral who served as Chief of the Imperial Japanese Navy General Staff and was a key strategist behind Japan’s early World War II naval operations, including the attack on Pearl Harbor.
-
B.
Uheiji Nagano
Uheiji Nagano was a Japanese architect known for designing prominent governmental and public buildings in the early 20th century.
-
C.
Otoya Yamaguchi
Otoya Yamaguchi was a 17-year-old Japanese ultranationalist who assassinated socialist politician Inejiro Asanuma during a televised political debate in 1960.
-
D.
Takeo Kanade
Takeo Kanade is a pioneering Japanese computer scientist and roboticist renowned for his foundational contributions to computer vision, robotics, and autonomous systems.
-
E.
Wada Masakazu
Wada Masakazu was a Japanese architect best known for helping design Tokyo’s National Diet Building, the seat of Japan’s national legislature.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeaaf9ea0819091bd0981068e5a72 |
completed | April 3, 2026, 4:28 p.m. |
Created at: March 20, 2026, 1:37 p.m.