Triple

T15383361
Position Surface form Disambiguated ID Type / Status
Subject Scott Burns E367857 entity
Predicate employer P7 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: [Scott Burns, employer, Nintendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nintendo
Context triple: [Scott Burns, employer, 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. Sony Computer Entertainment
    Sony Computer Entertainment is the former name of Sony’s video game division responsible for developing and publishing PlayStation hardware, software, and exclusive titles.
  • D. 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.
  • E. Sony Ten
    Sony Ten is an Indian sports television network that airs a variety of international sporting events, including professional wrestling programs like WWE Raw.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7397188190bde42b897ab4b5b4 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b47f20081909ef7b077458d1510 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.