Triple
T18199037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gosei |
E435733
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Issei |
—
|
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: Issei | Statement: [Gosei, contrastedWith, Issei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Issei Context triple: [Gosei, contrastedWith, 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.
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.
-
E.
Yojiro
Yojiro is a Japanese given name commonly used for males.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d545f4819090285d1446bd3c27 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.