Triple

T16136852
Position Surface form Disambiguated ID Type / Status
Subject Koopa Troop E391550 entity
Predicate franchise P1500 FINISHED
Object Super Mario E406903 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: Super Mario | Statement: [Koopa Troop, franchise, Super Mario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Super Mario
Context triple: [Koopa Troop, franchise, Super Mario]
  • A. Spring Mario
    Spring Mario is a special power-up form of Mario that encases him in a spring, allowing him to bounce to great heights and reach otherwise inaccessible areas.
  • B. Super Mario series chosen
    The Super Mario series is Nintendo’s flagship platform game franchise starring Mario in a wide variety of adventures across imaginative worlds.
  • C. Super Mario Bros.
    Super Mario Bros. is a landmark Nintendo video game series that popularized side-scrolling platformers and follows Mario’s adventures to rescue Princess Peach from Bowser.
  • D. Supah Mario
    Supah Mario is a hip-hop and R&B record producer known for his work with major artists such as Drake, Young Thug, and Lil Uzi Vert.
  • E. Hotel Mario
    Hotel Mario is a 1994 Philips CD-i puzzle-platform video game based on the Mario franchise, infamous for its poor quality and awkward full-motion video cutscenes.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a05148c8190bc2b98217fda23cc completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79ecea0819083aa5cb676d49f64 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.