Triple

T24772831
Position Surface form Disambiguated ID Type / Status
Subject Rab C. Nesbitt E619773 entity
Predicate voiceAccent P61298 FINISHED
Object Glaswegian accent LITERAL 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: Glaswegian accent | Statement: [Rab C. Nesbitt, voiceAccent, Glaswegian accent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voiceAccent
Context triple: [Rab C. Nesbitt, voiceAccent, Glaswegian accent]
  • A. voiceAppearance
    Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
  • B. voiceActorAccent chosen
    Indicates that a voice actor performs their role using a specified accent.
  • C. voiceTexture
    Indicates the characteristic quality or timbre of a voice as perceived in sound.
  • D. voiceType
    Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
  • E. voiceConfiguration
    Indicates a relationship where an entity has or is assigned a particular setup or set of parameters determining how its voice or vocal output is produced or presented.
  • F. None of above.

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_69e2fabd04488190a2d13c97be745a2d completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410acff0481908b72047fe19d97de completed May 1, 2026, 2:32 a.m.
PD Predicate disambiguation batch_69f40ef612c88190ab2f3f08d4a92018 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 4:32 a.m.