Triple

T2002256
Position Surface form Disambiguated ID Type / Status
Subject ALAC E43496 entity
Predicate acronym P43 FINISHED
Object ALAC E43496 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: ALAC | Statement: [ALAC, acronym, ALAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALAC
Context triple: [ALAC, acronym, ALAC]
  • A. ALAC chosen
    ALAC is the At-Large Advisory Committee within ICANN that represents the interests of individual Internet users in global domain name policy development.
  • B. FLAC
    FLAC (Free Lossless Audio Codec) is an open-source audio compression format that reduces file size without any loss in sound quality, commonly used for high-fidelity music archiving and playback.
  • C. Dolby TrueHD
    Dolby TrueHD is a lossless multichannel audio codec designed for high-definition home entertainment formats like Blu-ray to deliver studio-quality surround sound.
  • D. Dolby Digital
    Dolby Digital is a multichannel digital audio encoding system widely used in cinema, home theater, and broadcast to deliver surround sound.
  • E. 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.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8820cec8190a945e5daeb8c9df6 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0342ef8c8190b7771076282981c3 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.