Triple

T3419201
Position Surface form Disambiguated ID Type / Status
Subject Google TV E72077 entity
Predicate hardwarePartner P12755 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: [Google TV, hardwarePartner, Sony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sony
Context triple: [Google TV, hardwarePartner, Sony]
  • A. Sony chosen
    Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
  • B. 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.
  • C. Sega
    Sega is a Japanese video game and entertainment company best known for its iconic consoles and franchises such as Sonic the Hedgehog.
  • D. Toyopa Group, LLC
    Toyopa Group, LLC is the original corporate name under which the company now known as Snap Inc., the parent of Snapchat, was first established.
  • E. PlayStation
    PlayStation is a popular line of video game consoles and gaming platforms developed by Sony, known for its extensive library of exclusive titles and global influence on the gaming industry.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94d6808819080997df30119e71e completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4881f1e1c81908de3a0729761c4f7 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:15 p.m.