Triple
T8759362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatsumi Fujinami |
E208155
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fujinami |
E208155
|
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: Fujinami | Statement: [Tatsumi Fujinami, familyName, Fujinami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fujinami Context triple: [Tatsumi Fujinami, familyName, Fujinami]
-
A.
Fujinami
chosen
Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
-
B.
Yukio
Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
-
C.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
D.
Katsuura
Katsuura is a coastal city in Chiba Prefecture, Japan, known for its fishing port, seafood markets, and scenic Pacific shoreline.
-
E.
Kamikawa
Kamikawa is a town in Hokkaido, Japan, known as a gateway to the mountainous landscapes and hot springs of Daisetsuzan National Park.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5df81c58819089af99306e103dbb |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab4d5a2c81909494c119e1d80b4b |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:40 p.m.