Triple
T15276878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katō Tomosaburō |
E365162
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tomosaburō |
E365162
|
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: Tomosaburō | Statement: [Katō Tomosaburō, givenName, Tomosaburō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomosaburō Context triple: [Katō Tomosaburō, givenName, Tomosaburō]
-
A.
Tomosaburō
chosen
Tomosaburō is a Japanese masculine given name most notably borne by Katō Tomosaburō, an admiral and Prime Minister of Japan in the early 20th century.
-
B.
Yonejirō
Yonejirō is the Japanese given name of Yone Noguchi, a notable early 20th-century poet and writer who bridged Japanese and Western literary cultures.
-
C.
Shōjirō
Shōjirō is a Japanese masculine given name that has been borne by various notable figures in Japan’s political, cultural, and historical spheres.
-
D.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
-
E.
Shoichi Sakata
Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f372f7c8190ba04b8bd13bff95c |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 3:14 a.m.