Triple

T8814115
Position Surface form Disambiguated ID Type / Status
Subject Tempest 3D AudioTech E209735 entity
Predicate vendor P1951 FINISHED
Object Sony E6422 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: Sony | Statement: [Tempest 3D AudioTech, vendor, Sony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sony
Context triple: [Tempest 3D AudioTech, vendor, Sony]
  • A. Sony chosen
    Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
  • B. PlayStation Productions
    PlayStation Productions is a Sony-owned studio dedicated to adapting PlayStation video game franchises into film and television projects.
  • C. 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.
  • D. Nintendo
    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.
  • E. Sega
    Sega is a Japanese video game and entertainment company best known for its iconic consoles and franchises such as Sonic the Hedgehog.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff1a4448190b5559f440d264442 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fb26b148190b66b7138cdf9c97b completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.