Triple

T14941564
Position Surface form Disambiguated ID Type / Status
Subject Shadow Mario E372542 entity
Predicate appearsIn 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: [Shadow Mario, appearsIn, Mario Power Tennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Power Tennis
Context triple: [Shadow Mario, appearsIn, 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. 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.
  • E. Sega Sports
    Sega Sports was Sega's sports-focused publishing label known for producing and releasing popular sports video game franchises in the late 1990s and early 2000s.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e929f3881908560b8428e72327d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.