Triple
T18608446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haikyu!! |
E454820
|
entity |
| Predicate | licensedBy |
P15136
|
FINISHED |
| Object | Sentai Filmworks |
—
|
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: Sentai Filmworks | Statement: [Haikyu!!, licensedBy, Sentai Filmworks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sentai Filmworks Context triple: [Haikyu!!, licensedBy, Sentai Filmworks]
-
A.
Sentai Filmworks
chosen
Sentai Filmworks is an American anime licensing and distribution company known for releasing a wide range of Japanese animated series and films in North America.
-
B.
Viz Media
Viz Media is a major North American entertainment company and publisher specializing in translating, localizing, and distributing Japanese manga and anime.
-
C.
Arka Media Works
Arka Media Works is an Indian film and television production company best known for backing large-scale, high-budget Telugu-language epics and pan-Indian cinema.
-
D.
P.A. Works
P.A. Works is a Japanese animation studio known for producing visually rich and emotionally driven anime series such as Angel Beats!, Shirobako, and Nagi-Asu: A Lull in the Sea.
-
E.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54cff3be8819080ab20045bd18a4d |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.