Triple

T1712575
Position Surface form Disambiguated ID Type / Status
Subject ccNSO E37214 entity
Predicate worksWith P398 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: [ccNSO, worksWith, ALAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALAC
Context triple: [ccNSO, worksWith, 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6315afdc81908409435bb47e8ee0 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8addf4a48190b19cdb861db5eecd completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.