Triple

T17436648
Position Surface form Disambiguated ID Type / Status
Subject The Bad Sleep Well E424016 entity
Predicate cinematography P1953 FINISHED
Object Yuzuru Aizawa NE NERFINISHED

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: Yuzuru Aizawa | Statement: [The Bad Sleep Well, cinematography, Yuzuru Aizawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuzuru Aizawa
Context triple: [The Bad Sleep Well, cinematography, Yuzuru Aizawa]
  • A. Yuzuru Aizawa chosen
    Yuzuru Aizawa is a Japanese cinematographer best known for his work on martial arts and action films, including the Bruce Lee movie "Game of Death."
  • B. Yuzuru Watanabe
    Yuzuru Watanabe was a Japanese architect known for his work on prominent modern buildings in Japan, including the Imperial Hotel in Tokyo.
  • C. Yuzuru Hiraga
    Yuzuru Hiraga was a prominent Japanese naval architect and engineer known for designing innovative warships for the Imperial Japanese Navy in the early 20th century.
  • D. Otonashi Yuzuru
    Otonashi Yuzuru is the amnesiac, kind-hearted protagonist of the anime "Angel Beats!" who gradually uncovers his past and helps others find peace in the afterlife.
  • E. Katsumi Ohno
    Katsumi Ohno is a Japanese mathematician known for his contributions to number theory and related fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490426008190b474ed76aca5d6f3 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.