Triple

T5643057
Position Surface form Disambiguated ID Type / Status
Subject Virtual Boy E124314 entity
Predicate notableGame P3198 FINISHED
Object Mario’s Tennis E167605 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’s Tennis | Statement: [Virtual Boy, notableGame, Mario’s Tennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario’s Tennis
Context triple: [Virtual Boy, notableGame, Mario’s Tennis]
  • 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. Dr. Mario
    Dr. Mario is a puzzle video game series by Nintendo in which Mario appears as a doctor who eliminates viruses by matching color-coded capsules.
  • C. 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.
  • D. Virtua Tennis
    Virtua Tennis is a popular arcade-style tennis video game series known for its fast-paced gameplay and accessible controls.
  • E. Super Mario Kart
    Super Mario Kart is a 1992 kart racing video game for the Super Nintendo Entertainment System that launched Nintendo’s long-running Mario Kart series.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a7cd9c819087f86f60e8b65fc3 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7c98008190b79528596eca4208 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.