Triple

T9001514
Position Surface form Disambiguated ID Type / Status
Subject Monogatari Series E215048 entity
Predicate author P4 FINISHED
Object Nisio Isin E775612 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: Nisio Isin | Statement: [Monogatari Series, author, Nisio Isin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisio Isin
Context triple: [Monogatari Series, author, Nisio Isin]
  • A. Nisio Isin chosen
    Nisio Isin is a Japanese novelist best known for his witty, dialogue-heavy light novels and mystery works, including the popular Monogatari series.
  • B. Yukito Kishiro
    Yukito Kishiro is a Japanese manga artist best known as the creator of the cyberpunk series "Battle Angel Alita," which inspired the film "Alita: Battle Angel."
  • C. Yukito Kizawa
    Yukito Kizawa is a Japanese anime scriptwriter best known for his work on the popular series Sword Art Online.
  • D. Koyoharu Gotouge
    Koyoharu Gotouge is a Japanese manga artist best known for creating the hugely popular dark fantasy series "Demon Slayer: Kimetsu no Yaiba."
  • E. Genzo Mizukami
    Genzo Mizukami was a Japanese military officer who commanded Imperial Japanese forces during the World War II Battle of Myitkyina in Burma.
  • 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_69d017643df48190abdb672a3f85aef3 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:05 p.m.