Triple
T23136657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomie |
E577341
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Junji Ito |
—
|
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: Junji Ito | Statement: [Tomie, creator, Junji Ito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junji Ito Context triple: [Tomie, creator, Junji Ito]
-
A.
Tsugumi Ohba
Tsugumi Ohba is a pseudonymous Japanese manga writer best known as the co-creator and writer of the hit series "Death Note" and "Bakuman."
-
B.
Tite Kubo
Tite Kubo is a Japanese manga artist best known for creating the popular shonen series Bleach, which blends supernatural action with stylish character designs.
-
C.
Itō Junji
chosen
Itō Junji is a renowned Japanese horror manga artist and writer known for his unsettling, surreal stories and distinctive, highly detailed art style.
-
D.
Seishirō Tsugumi
Seishirō Tsugumi is a skilled, androgynous bodyguard and hitwoman in the romantic comedy manga and anime series "Nisekoi," known for her serious demeanor and hidden romantic feelings.
-
E.
Kentaro Miura
Kentaro Miura was a Japanese manga artist best known as the creator of the dark fantasy series "Berserk," renowned for its intricate artwork and mature, tragic storytelling.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8c33308190a44f98a7aab3b670 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.