Triple

T7187741
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mario E167612 entity
Predicate publisher P29 FINISHED
Object Nintendo E21098 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: Nintendo | Statement: [Dr. Mario, publisher, Nintendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nintendo
Context triple: [Dr. Mario, publisher, Nintendo]
  • A. Nintendo chosen
    Nintendo is a Japanese video game company best known for creating iconic franchises such as Mario, The Legend of Zelda, and Pokémon, as well as popular gaming consoles like the Nintendo Switch.
  • B. Sony
    Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
  • C. Nintendo consoles
    Nintendo consoles are a series of home and handheld video game systems created by Nintendo, known for iconic hardware like the NES, Game Boy, Wii, and Switch and for hosting many of the company’s flagship game franchises.
  • D. Konami
    Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
  • E. Nintendo Network
    Nintendo Network is Nintendo's online service platform that supports multiplayer gaming, digital distribution, and other network features across its consoles and handheld systems.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e2506881909fc4e81b9b79e873 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b956ce048190b377dd62f5b5b173 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:50 p.m.