Triple

T3537686
Position Surface form Disambiguated ID Type / Status
Subject Luigi's Mansion E74806 entity
Predicate artDirector P7743 FINISHED
Object Takashi Tezuka E521530 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: Takashi Tezuka | Statement: [Luigi's Mansion, artDirector, Takashi Tezuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takashi Tezuka
Context triple: [Luigi's Mansion, artDirector, Takashi Tezuka]
  • A. Takashi Tezuka chosen
    Takashi Tezuka is a veteran Nintendo game designer and producer best known for his key creative roles in shaping the Super Mario and The Legend of Zelda series.
  • B. Toshio Kashio
    Toshio Kashio was a Japanese engineer and entrepreneur best known as one of the co-founders of Casio, a pioneering company in electronic calculators and consumer electronics.
  • C. Minoru Ōta
    Minoru Ōta was an Imperial Japanese Navy rear admiral who led the defense of the Oroku Peninsula during the Battle of Okinawa in World War II and became known for his final message praising the Okinawan people.
  • D. Iwao Nitta
    Iwao Nitta was a Japanese chemist and academic known for mentoring future Nobel laureate Akira Suzuki during his doctoral studies.
  • E. Yosuke Kubozuka
    Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc928248190b851f8280d58cfcf completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097a5c6a4819082f4b9bf113ea33b completed March 23, 2026, 1:30 a.m.
Created at: March 8, 2026, 3:20 p.m.