Triple
T21800590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōbō Abe |
E538228
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kōbō Abe |
—
|
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: Kōbō Abe | Statement: [Kōbō Abe, name, Kōbō Abe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōbō Abe Context triple: [Kōbō Abe, name, Kōbō Abe]
-
A.
Kōbō Abe
chosen
Kōbō Abe was a prominent 20th-century Japanese writer and playwright known for his surreal, existential works such as "The Woman in the Dunes."
-
B.
Kenzaburō Ōe
Kenzaburō Ōe was a Japanese novelist and Nobel Prize in Literature laureate known for his profound, politically engaged works exploring postwar Japanese society and personal trauma.
-
C.
Yukio Endo
Yukio Endo was a Japanese artistic gymnast best known for winning multiple Olympic medals in the 1960s and helping establish Japan’s dominance in men’s gymnastics.
-
D.
Tsukada Yasunari
Tsukada Yasunari is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Tsukada.
-
E.
Genichi Kawakami
Genichi Kawakami was a Japanese industrialist and executive best known for transforming Yamaha from a musical instrument maker into a global powerhouse in motorcycles and motorized products.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fede848190b8fe07941d6573d9 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.