Triple

T15488949
Position Surface form Disambiguated ID Type / Status
Subject Bowser Jr. E377127 entity
Predicate teamSportSeriesAppearance P74483 FINISHED
Object Mario Tennis series E167605 NE FINISHED

How this triple was built (3 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 Tennis series | Statement: [Bowser Jr., teamSportSeriesAppearance, Mario Tennis series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Tennis series
Context triple: [Bowser Jr., teamSportSeriesAppearance, Mario Tennis series]
  • A. Mario Tennis chosen
    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.
  • B. Mario Golf
    Mario Golf is a sports video game series that combines golf gameplay with characters and elements from Nintendo’s Mario franchise.
  • C. Sony Open Tennis
    Sony Open Tennis was the former name of the prestigious annual professional tennis tournament held in Miami, Florida, that attracts top ATP and WTA players.
  • D. Virtua Tennis
    Virtua Tennis is a popular arcade-style tennis video game series known for its fast-paced gameplay and accessible controls.
  • E. Wii Sports
    Wii Sports is a motion-controlled sports video game compilation for the Nintendo Wii that became a cultural phenomenon and one of the best-selling games of all time.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teamSportSeriesAppearance
Context triple: [Bowser Jr., teamSportSeriesAppearance, Mario Tennis series]
  • A. sportNumberOfAppearances
    Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
  • B. leagueAppearances
    Indicates the number of times an entity has participated in official league matches or competitions.
  • C. appearedInSport chosen
    Indicates that an entity has participated in, been featured in, or taken part in a particular sport.
  • D. teamPlayedFor
    Indicates that a person was a member of and played for a particular sports team.
  • E. clubAppearances
    Indicates the number of official matches a player has played for a particular club.
  • F. None of above.

Provenance (4 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_69ff82e376f08190b5ae9793a0381204 completed May 9, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69ded2874b788190999158e0f043be21 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:48 a.m.