Triple
T4451609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haruki Murakami |
E97620
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 村上春樹 |
E97620
|
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: 村上春樹 | Statement: [Haruki Murakami, nativeName, 村上春樹]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 村上春樹 Context triple: [Haruki Murakami, nativeName, 村上春樹]
-
A.
村上宗隆
村上宗隆は、東京ヤクルトスワローズに所属し、史上最年少で三冠王を獲得したことで知られる日本プロ野球界を代表する強打者の一人である。
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6138b6c8c8190a21ad00fb230c0f0 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:33 p.m.