Triple

T14384749
Position Surface form Disambiguated ID Type / Status
Subject Gankutsuou: The Count of Monte Cristo E356693 entity
Predicate originalNetwork P2594 FINISHED
Object Animax E771948 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: Animax | Statement: [Gankutsuou: The Count of Monte Cristo, originalNetwork, Animax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Animax
Context triple: [Gankutsuou: The Count of Monte Cristo, originalNetwork, Animax]
  • A. Animax chosen
    Animax is an international Japanese anime television network known for broadcasting a wide range of anime series across multiple regions.
  • B. Toonami
    Toonami is an action-oriented programming block known for airing anime and animated series, originally broadcast on Cartoon Network.
  • C. Cartoon Network Japan
    Cartoon Network Japan is the Japanese version of the Cartoon Network television channel, broadcasting localized and dubbed animated programming for audiences in Japan.
  • D. Tokyo MX
    Tokyo MX is a Japanese independent television station based in Tokyo, known for broadcasting a wide range of anime and local programming.
  • E. Filmax
    Filmax is a Spanish film production and distribution company known for producing and releasing a wide range of genre and independent films.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9025cff881908c08224d90d9f750 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5513e8888190bc6b6cb33fd9b670 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.