Triple
T4449975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sansei |
E96382
|
entity |
| Predicate | hasRelatedTerm |
P37
|
FINISHED |
| Object | Issei |
E453634
|
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: Issei | Statement: [Sansei, hasRelatedTerm, Issei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Issei Context triple: [Sansei, hasRelatedTerm, Issei]
-
A.
Issei
chosen
Issei are first-generation Japanese immigrants, particularly those who moved to countries like the United States or Brazil, forming the foundational generation of the Japanese diaspora there.
-
B.
Seiji
Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
-
C.
Shinya
Shinya is a Japanese given name commonly used for males.
-
D.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
E.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d5975c8190bfe8a2d5d2dbf075 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03295174819096d299919a6d7e57 |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 12, 2026, 11:32 p.m.