Triple

T9001822
Position Surface form Disambiguated ID Type / Status
Subject Angel Beats! E215054 entity
Predicate originalNetwork P2594 FINISHED
Object TV Tokyo E493027 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 Tokyo | Statement: [Angel Beats!, originalNetwork, TV Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Tokyo
Context triple: [Angel Beats!, originalNetwork, TV Tokyo]
  • A. TV Tokyo chosen
    TV Tokyo is a major Japanese television network known for broadcasting popular anime series and other entertainment programming.
  • B. TV Osaka
    TV Osaka is a Japanese television network based in Osaka, known for broadcasting various anime and entertainment programs.
  • C. 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.
  • D. TV Aichi
    TV Aichi is a Japanese television network based in Nagoya, known for broadcasting a variety of anime and entertainment programs.
  • E. Tokyo Broadcasting Station
    Tokyo Broadcasting Station was an early Japanese radio broadcaster that served as a forerunner to the modern public broadcaster NHK.
  • 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_69cfeb5b88d48190b684c43cc88d8438 completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:05 p.m.