Triple
T20903472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toru Watanabe |
E514730
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Haruki Murakami |
—
|
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: Haruki Murakami | Statement: [Toru Watanabe, creator, Haruki Murakami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haruki Murakami Context triple: [Toru Watanabe, creator, Haruki Murakami]
-
A.
Haruki Murakami
chosen
Haruki Murakami is a renowned contemporary Japanese novelist known for his surreal, introspective narratives that blend magical realism, pop culture, and themes of alienation.
-
B.
Murakami
Murakami is a coastal city in northern Niigata Prefecture, Japan, known for its historic streets, salmon cuisine, and scenic views of the Sea of Japan.
-
C.
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.
-
D.
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.
-
E.
Kawabe Masakazu
Kawabe Masakazu was a Japanese general in the Imperial Japanese Army during World War II, known for leading major operations in the Burma campaign against Allied forces.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fe4b808190bbc1bbde7a11f283 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.