Triple

T15534376
Position Surface form Disambiguated ID Type / Status
Subject Kremlings E370304 entity
Predicate appearsInGame P795 FINISHED
Object Mario Power 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 Power Tennis | Statement: [Kremlings, appearsInGame, Mario Power Tennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Power Tennis
Context triple: [Kremlings, appearsInGame, Mario Power 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. Virtua Tennis
    Virtua Tennis is a popular arcade-style tennis video game series known for its fast-paced gameplay and accessible controls.
  • 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. Mario Superstar Baseball
    Mario Superstar Baseball is a GameCube sports video game that features characters from the Mario franchise competing in arcade-style baseball matches.
  • E. Mario Hoops 3-on-3
    Mario Hoops 3-on-3 is a Nintendo DS arcade-style basketball game featuring characters and power-ups from the Mario franchise.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442e327c8190b4b879c8a3cd38e3 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d605b908190a18c63142c8bb854 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:06 a.m.