Triple
T9001823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Beats! |
E215054
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | TV Aichi |
E771923
|
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: TV Aichi | Statement: [Angel Beats!, originalNetwork, TV Aichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Aichi Context triple: [Angel Beats!, originalNetwork, TV Aichi]
-
A.
TV Aichi
chosen
TV Aichi is a Japanese television network based in Nagoya, known for broadcasting a variety of anime and entertainment programs.
-
B.
Gunma TV
Gunma TV is a Japanese regional television station based in Gunma Prefecture that broadcasts a variety of local and syndicated programming, including anime.
-
C.
Samanyolu TV
Samanyolu TV was a Turkish television channel known for its family-oriented programming and affiliation with the Gülen movement before its closure by the Turkish government.
-
D.
NHK E-TV
NHK E-TV is a Japanese educational television channel operated by the public broadcaster NHK, featuring programs focused on learning, culture, and children’s content.
-
E.
TV Tokyo
TV Tokyo is a major Japanese television network known for broadcasting popular anime series and other entertainment programming.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9741dc8190bec985da8913937c |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:05 p.m.