Triple
T14805730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Water |
E348029
|
entity |
| Predicate | basedOnWorkAuthor |
P2806
|
FINISHED |
| Object | Kōji Suzuki |
—
|
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: Kōji Suzuki | Statement: [Dark Water, basedOnWorkAuthor, Kōji Suzuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōji Suzuki Context triple: [Dark Water, basedOnWorkAuthor, Kōji Suzuki]
-
A.
Akira Suzuki
Akira Suzuki is a Japanese chemist and Nobel laureate renowned for co-developing the Suzuki coupling reaction, a pivotal method in organic synthesis.
-
B.
Koji Suzuki
chosen
Koji Suzuki is a Japanese horror novelist best known internationally as the creator of the Ring series.
-
C.
Masaaki Suzuki
Masaaki Suzuki was an Imperial Japanese military officer who commanded forces during World War II, including in the Pacific campaign.
-
D.
Toshio Suzuki
Toshio Suzuki is a prominent Japanese film producer best known for his longtime work with Studio Ghibli on acclaimed animated films such as "Spirited Away" and "My Neighbor Totoro."
-
E.
Masataka Kōsaka
Masataka Kōsaka was a prominent Japanese political scientist and diplomat known for his influential work on Japan’s postwar foreign policy and international relations.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 1:34 a.m.