Triple

T15412762
Position Surface form Disambiguated ID Type / Status
Subject Baby Mario E368634 entity
Predicate appearsIn P795 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: [Baby Mario, appearsIn, Mario Golf series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Golf series
Context triple: [Baby Mario, appearsIn, 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff364f8ab481909f88e6b5fb42cd19 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:20 a.m.