Triple
T17115661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shōda Hidesaburō |
E415330
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shōda |
E34837
|
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: Shōda | Statement: [Shōda Hidesaburō, familyName, Shōda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shōda Context triple: [Shōda Hidesaburō, familyName, Shōda]
-
A.
Shōda
chosen
Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
-
B.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
-
C.
Ōkubo
Ōkubo is a Japanese surname most famously associated with Meiji-era statesman Ōkubo Toshimichi, one of the key architects of Japan’s modernization.
-
D.
Keihō
Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
-
E.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80528588190a877dcc6d6d3a392 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a0957c081908a1902aea2f02d2a |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.