Triple

T11126136
Position Surface form Disambiguated ID Type / Status
Subject Buddy Miller E263143 entity
Predicate recordLabel P1500 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: [Buddy Miller, recordLabel, Sony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sony
Context triple: [Buddy Miller, recordLabel, Sony]
  • A. Sony chosen
    Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
  • B. Sony Computer Entertainment America
    Sony Computer Entertainment America was the North American division of Sony’s PlayStation business, responsible for developing, marketing, and distributing PlayStation hardware and software in the region.
  • C. Sony Computer Entertainment Europe
    Sony Computer Entertainment Europe is the European division of Sony's video game business, responsible for publishing and distributing PlayStation games across Europe and other PAL regions.
  • D. Sony E
    Sony E is a lens mount system used primarily on Sony’s mirrorless cameras with APS-C sensors.
  • E. PlayStation Productions
    PlayStation Productions is a Sony-owned studio dedicated to adapting PlayStation video game franchises into film and television projects.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82fc5f88190b34c55de3d50f6a7 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462f5fe708190835e427b6bf99f13 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.