Triple
T14460741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnm |
E358576
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Yukito Kishiro |
E358577
|
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: Yukito Kishiro | Statement: [Gunnm, creator, Yukito Kishiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yukito Kishiro Context triple: [Gunnm, creator, Yukito Kishiro]
-
A.
Yukito Kishiro
chosen
Yukito Kishiro is a Japanese manga artist best known as the creator of the cyberpunk series "Battle Angel Alita," which inspired the film "Alita: Battle Angel."
-
B.
Yukito Kizawa
Yukito Kizawa is a Japanese anime scriptwriter best known for his work on the popular series Sword Art Online.
-
C.
Nisio Isin
Nisio Isin is a Japanese novelist best known for his witty, dialogue-heavy light novels and mystery works, including the popular Monogatari series.
-
D.
Koyoharu Gotouge
Koyoharu Gotouge is a Japanese manga artist best known for creating the hugely popular dark fantasy series "Demon Slayer: Kimetsu no Yaiba."
-
E.
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.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.