Triple

T1005849
Position Surface form Disambiguated ID Type / Status
Subject CinemaScope E21708 entity
Predicate laterSoundFormatUsed P3514 FINISHED
Object optical mono 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: optical mono | Statement: [CinemaScope, laterSoundFormatUsed, optical mono]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterSoundFormatUsed
Context triple: [CinemaScope, laterSoundFormatUsed, optical mono]
  • A. hasPartialSound
    Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
  • B. soundReproductionMethod chosen
    Indicates the method or technique used to reproduce or play back sound.
  • C. soundCarrier
    Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for another entity.
  • D. signatureSound
    Indicates that something has a distinctive, characteristic sound that uniquely identifies it.
  • E. surroundChannelType
    Indicates that an audio channel is designated as part of a surround sound configuration (e.g., rear, side, or height channels) rather than a standard stereo or mono channel.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b51303548190a5ee3c0797fc3245 completed March 1, 2026, 9:52 p.m.
PD Predicate disambiguation batch_69a4b2b2e7108190b338b6c19d4aff55 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.