Triple
T18608447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haikyu!! |
E454820
|
entity |
| Predicate | licensedBy |
P15136
|
FINISHED |
| Object | Crunchyroll |
—
|
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: Crunchyroll | Statement: [Haikyu!!, licensedBy, Crunchyroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crunchyroll Context triple: [Haikyu!!, licensedBy, Crunchyroll]
-
A.
Crunchyroll
chosen
Crunchyroll is a popular streaming service specializing in anime, manga, and East Asian media content.
-
B.
Hikari TV
Hikari TV is a Japanese internet protocol television (IPTV) service offering a wide range of live channels and on-demand content.
-
C.
Rakuten TV
Rakuten TV is a streaming video-on-demand platform operated by Japanese e-commerce company Rakuten, offering movies, series, and sports content across various European and other international markets.
-
D.
Tubi
Tubi is a free, ad-supported streaming service offering a large library of movies and TV shows on demand.
-
E.
Mubo
Mubo is a fictional proprietor and droid technician who runs the Droid Depot shop in the Star Wars universe.
- 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.