Triple

T9026463
Position Surface form Disambiguated ID Type / Status
Subject Super Mario Sunshine E216058 entity
Predicate composer P1361 FINISHED
Object Shinobu Tanaka E370844 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: Shinobu Tanaka | Statement: [Super Mario Sunshine, composer, Shinobu Tanaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinobu Tanaka
Context triple: [Super Mario Sunshine, composer, Shinobu Tanaka]
  • A. Shinobu Tanaka chosen
    Shinobu Tanaka is a Japanese video game composer best known for her work on Nintendo titles, including contributing to the music of Luigi’s Mansion.
  • B. Yuko Tanaka
    Yuko Tanaka is a Japanese academic and scholar who has served as president of Hosei University in Tokyo.
  • C. Mayuko Tanaka
    Mayuko Tanaka is a Japanese public figure best known as the daughter of politician Makiko Tanaka and granddaughter of former Prime Minister Kakuei Tanaka.
  • D. Makiko Tanaka
    Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
  • E. Shoko Nakagawa
    Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7ce71c81908041814dc9ec1713 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1bca05c608190935af17d94c567d6 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 7:07 p.m.