Triple

T16154925
Position Surface form Disambiguated ID Type / Status
Subject Yasuaki Iwata E392013 entity
Predicate notableWork P4 FINISHED
Object Splatoon E114489 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: Splatoon | Statement: [Yasuaki Iwata, notableWork, Splatoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Splatoon
Context triple: [Yasuaki Iwata, notableWork, Splatoon]
  • A. Splatoon chosen
    Splatoon is a colorful, team-based third-person shooter video game franchise known for its ink-splatting mechanics and competitive multiplayer battles.
  • B. Smash
    Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
  • C. Smash
    Smash is a 1994 punk rock album by The Offspring that became a breakthrough commercial success and a defining record of 1990s punk.
  • D. Smash
    Smash is a stage play by Jason Grote that reimagines George Bernard Shaw’s "Man and Superman" through a contemporary, satirical lens.
  • E. Splatfest
    Splatfest is a recurring, themed in-game festival in the Splatoon series where players choose sides and compete in special turf battles to support their team.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5902a08190ad8694955ef6073a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ae46dc81908cba9152a6080c3a completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.