Triple

T22953551
Position Surface form Disambiguated ID Type / Status
Subject Akai MPC60 E570087 entity
Predicate manufacturer P490 FINISHED
Object Akai 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: Akai | Statement: [Akai MPC60, manufacturer, Akai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akai
Context triple: [Akai MPC60, manufacturer, Akai]
  • A. Kasio
    Kasio is the main character of the indie narrative game "If Found...", a young woman navigating memory, identity, and self-discovery in a surreal, diary-like story.
  • B. Mogami
    Mogami was a lead ship of a class of Japanese World War II heavy cruisers known for their high speed, heavy armament, and participation in major Pacific naval battles.
  • C. Korg
    Korg is a rock-like Kronan warrior from the Marvel universe, best known as a humorous ally of Thor who appears in the Marvel Cinematic Universe films.
  • D. Akai MPC3000 chosen
    The Akai MPC3000 is a classic hardware sampler and drum machine renowned for its distinctive swing and influential role in shaping 1990s hip-hop and electronic music production.
  • E. Edirol
    Edirol is a Roland Corporation brand known for its digital audio and video equipment, including interfaces, mixers, and recording devices aimed at musicians and multimedia creators.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a34c30819099ff4812500a0991 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.