Triple

T15488950
Position Surface form Disambiguated ID Type / Status
Subject Bowser Jr. E377127 entity
Predicate teamSportSeriesAppearance P74483 FINISHED
Object Mario Golf series E167606 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: Mario Golf series | Statement: [Bowser Jr., teamSportSeriesAppearance, Mario Golf series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Golf series
Context triple: [Bowser Jr., teamSportSeriesAppearance, Mario Golf series]
  • A. Mario Golf chosen
    Mario Golf is a sports video game series that combines golf gameplay with characters and elements from Nintendo’s Mario franchise.
  • B. Mario Tennis
    Mario Tennis is a sports video game series by Nintendo that features Mario and other characters from the Mario franchise competing in arcade-style tennis matches.
  • C. Golf 20/20
    Golf 20/20 is an initiative of the World Golf Foundation focused on growing and promoting the game of golf through industry-wide collaboration and strategic programs.
  • D. Golf Galaxy
    Golf Galaxy is a U.S.-based specialty retail chain focused on golf equipment, apparel, and accessories.
  • E. Radio Golf
    Radio Golf is a play by August Wilson that concludes his ten-play Pittsburgh Cycle, exploring African American life and history through the story of an ambitious Black politician and real estate developer in 1990s Pittsburgh.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f29cee481908f0f81c4cc581f7f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 3:48 a.m.