Triple

T21736246
Position Surface form Disambiguated ID Type / Status
Subject Medicine Man E536530 entity
Predicate soundMix P14839 FINISHED
Object Dolby Stereo NE NERFINISHED

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: Dolby Stereo | Statement: [Medicine Man, soundMix, Dolby Stereo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolby Stereo
Context triple: [Medicine Man, soundMix, Dolby Stereo]
  • A. Dolby Stereo chosen
    Dolby Stereo is a multichannel optical sound system for film that brought high-fidelity, surround-capable audio to movie theaters in the 1970s and 1980s.
  • B. Dolby Audio
    Dolby Audio is a suite of advanced audio processing technologies designed to deliver clearer, more immersive, and dynamically optimized sound across consumer devices and media.
  • C. Dolby Digital
    Dolby Digital is a multichannel digital audio encoding system widely used in cinema, home theater, and broadcast to deliver surround sound.
  • D. Dolby A
    Dolby A is an early professional audio noise reduction system developed by Dolby Laboratories, widely used in analog recording and film sound before later Dolby formats superseded it.
  • E. Dolby SR
    Dolby SR is an advanced professional analog noise reduction system developed by Dolby Laboratories to significantly improve the dynamic range and sound quality of film and audio recordings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0c0a088190bd1926fa4b73d8f4 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.