Triple

T13109782
Position Surface form Disambiguated ID Type / Status
Subject Birdo E310938 entity
Predicate appearsInGame 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: [Birdo, appearsInGame, Mario Golf series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Golf series
Context triple: [Birdo, appearsInGame, 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eadad81c8190881e6577e1c2a207 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:05 p.m.