Triple
T18224761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tani Tateki |
E436394
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tani Tateki |
—
|
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: Tani Tateki | Statement: [Tani Tateki, name, Tani Tateki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tani Tateki Context triple: [Tani Tateki, name, Tani Tateki]
-
A.
Tani Tateki
chosen
Tani Tateki was a Japanese samurai and military commander of the Meiji era who played a key role in government forces during the Satsuma Rebellion.
-
B.
Takaichi
Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
-
C.
Tani
Tani is a Pashtun tribal group primarily associated with Afghanistan’s Khost region.
-
D.
Tani
Tani is a group of closely related Tibeto-Burman languages spoken primarily in the northeastern Indian states of Arunachal Pradesh and Assam.
-
E.
Tadashi
Tadashi is a Japanese masculine given name commonly borne by notable figures in business, sports, and the arts.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47e5e8c819095454b6557a5d5a5 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.