Triple

T15959270
Position Surface form Disambiguated ID Type / Status
Subject Nolan Sorrento E387014 entity
Predicate antagonistOf P18963 FINISHED
Object Shoto E1231698 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: Shoto | Statement: [Nolan Sorrento, antagonistOf, Shoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoto
Context triple: [Nolan Sorrento, antagonistOf, Shoto]
  • A. Shoto chosen
    Shoto is a skilled Japanese gunter and avatar in the virtual reality world of OASIS from Ernest Cline's novel "Ready Player One."
  • B. Shoto
    Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
  • C. Shinnosuke
    Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
  • D. Ryogo
    Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
  • E. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fe82d081908b5d41bc5a709de2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafb761881908e7a891ef390982a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:53 a.m.