Triple
T18584287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tengen Toppa Gurren Lagann |
E454197
|
entity |
| Predicate | licensedBy |
P15136
|
FINISHED |
| Object | Aniplex of America |
—
|
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: Aniplex of America | Statement: [Tengen Toppa Gurren Lagann, licensedBy, Aniplex of America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aniplex of America Context triple: [Tengen Toppa Gurren Lagann, licensedBy, Aniplex of America]
-
A.
Aniplex
chosen
Aniplex is a Japanese anime and music production and distribution company known for producing and licensing numerous popular anime series and films.
-
B.
A-1 Pictures
A-1 Pictures is a Japanese animation studio known for producing popular anime series and films across a wide range of genres.
-
C.
Bron Animation
Bron Animation is the animation division of Canadian production company Bron Studios, known for developing and producing animated films and series.
-
D.
Viz Media
Viz Media is a major North American entertainment company and publisher specializing in translating, localizing, and distributing Japanese manga and anime.
-
E.
C2 Pictures
C2 Pictures is a film production company best known for reviving the Terminator franchise in the early 2000s.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:44 a.m.