Triple

T9001824
Position Surface form Disambiguated ID Type / Status
Subject Angel Beats! E215054 entity
Predicate originalNetwork P2594 FINISHED
Object TV Osaka E772885 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 Osaka | Statement: [Angel Beats!, originalNetwork, TV Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Osaka
Context triple: [Angel Beats!, originalNetwork, TV Osaka]
  • A. TV Osaka chosen
    TV Osaka is a Japanese television network based in Osaka, known for broadcasting various anime and entertainment programs.
  • B. TV Tokyo
    TV Tokyo is a major Japanese television network known for broadcasting popular anime series and other entertainment programming.
  • C. TV Aichi
    TV Aichi is a Japanese television network based in Nagoya, known for broadcasting a variety of anime and entertainment programs.
  • D. Tochigi TV
    Tochigi TV is a Japanese regional television station based in Tochigi Prefecture that broadcasts a variety of local and syndicated programming, including popular anime series.
  • E. 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.
  • 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_69cffd9bd544819083adf00db6a4a473 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:05 p.m.