Triple
T2510126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoko Tawada |
E52680
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tawada |
E52680
|
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: Tawada | Statement: [Yoko Tawada, familyName, Tawada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tawada Context triple: [Yoko Tawada, familyName, Tawada]
-
A.
Yoko Tawada
chosen
Yoko Tawada is a Japanese-German writer known for her innovative, multilingual literature that explores themes of language, identity, and cultural displacement.
-
B.
Hikari Ōe
Hikari Ōe is a Japanese composer known for his classical music works and as the son of Nobel Prize–winning author Kenzaburō Ōe.
-
C.
Miyazawa
Miyazawa is a Japanese surname borne by numerous notable figures in politics, literature, and the arts.
-
D.
Frank Kawakami
Frank Kawakami is a video game industry figure best known as a founder of the game development studio Treyarch, which became prominent for its work on the Call of Duty franchise.
-
E.
Mishima
Mishima is a city in Shizuoka Prefecture, Japan, known for its historic shrines, views of Mount Fuji, and role as a regional transportation hub.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ed94a08190a172a426c2123f36 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8fa0d88190bc153a460091bcf1 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.