Triple

T17363795
Position Surface form Disambiguated ID Type / Status
Subject Godzilla: Tokyo S.O.S. E422135 entity
Predicate musicBy P1952 FINISHED
Object Michiru Oshima 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: Michiru Oshima | Statement: [Godzilla: Tokyo S.O.S., musicBy, Michiru Oshima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michiru Oshima
Context triple: [Godzilla: Tokyo S.O.S., musicBy, Michiru Oshima]
  • A. Michiru Ōshima chosen
    Michiru Ōshima is a Japanese composer renowned for her orchestral and soundtrack work across anime, film, and video games.
  • B. Mieko Harada
    Mieko Harada is a Japanese actress best known internationally for her intense portrayal of Lady Kaede in Akira Kurosawa’s epic film "Ran."
  • C. Yuka Kashino
    Yuka Kashino is a Japanese singer and dancer best known as a member of the technopop girl group Perfume.
  • D. Hisako Nagayama
    Hisako Nagayama was the wife of Japanese general Tomoyuki Yamashita, who was a prominent military leader during World War II.
  • E. Noriko Ōishi
    Noriko Ōishi is a central human protagonist in the 2023 Japanese kaiju film "Godzilla Minus One," whose relationship with the traumatized veteran Koichi Shikishima anchors the movie’s emotional core amid Godzilla’s devastation.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4f52988190847230e119a35b87 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.