Triple

T598020
Position Surface form Disambiguated ID Type / Status
Subject Luigi E11428 entity
Predicate franchise P1500 FINISHED
Object Mario E31492 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 | Statement: [Luigi, franchise, Mario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario
Context triple: [Luigi, franchise, Mario]
  • A. Mario chosen
    Mario is a fictional Italian plumber and the iconic protagonist of Nintendo's long-running Super Mario video game franchise.
  • B. Mario Bros.
    Mario Bros. is a classic 1983 arcade platform game by Nintendo featuring Mario and Luigi battling creatures in underground sewers.
  • C. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • D. Yoshi
    Yoshi is a friendly, dinosaur-like character from Nintendo’s Mario franchise, known for his long tongue, egg-throwing abilities, and frequent role as Mario’s companion and steed.
  • E. Super Mario Galaxy
    Super Mario Galaxy is a critically acclaimed 3D platformer for the Nintendo Wii in which Mario travels between small, gravity-defying planets to rescue Princess Peach from Bowser.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d776c6c819081b41a9b55041cd5 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56930dfd88190a991adafc406c5ac completed March 2, 2026, 10:40 a.m.
Created at: March 1, 2026, 7:35 p.m.