Triple

T20217745
Position Surface form Disambiguated ID Type / Status
Subject Mario Kart 7 E495172 entity
Predicate developer P73 FINISHED
Object Retro Studios 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: Retro Studios | Statement: [Mario Kart 7, developer, Retro Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retro Studios
Context triple: [Mario Kart 7, developer, Retro Studios]
  • A. Retro Studios chosen
    Retro Studios is an American video game developer best known for revitalizing the Metroid series with the Metroid Prime games and developing the modern Donkey Kong Country titles for Nintendo.
  • B. Turbine Studios
    Turbine Studios is a film and television production company known for producing high-profile international projects such as the historical drama "Munich – The Edge of War."
  • C. Paradox Studios
    Paradox Studios is a film production company known for producing the 2018 movie "Welcome Home."
  • D. Tango Gameworks
    Tango Gameworks is a Japanese video game development studio best known for creating the survival horror series The Evil Within and the action-adventure game Ghostwire: Tokyo.
  • E. Avalon Studios
    Avalon Studios is a prominent New Zealand film and television production facility known for its soundstages and post-production services.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edaeeb08190bb74bd4a10aceca2 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.