Triple

T12049448
Position Surface form Disambiguated ID Type / Status
Subject Don Katz E286875 entity
Predicate employer P7 FINISHED
Object Audible E31207 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: Audible | Statement: [Don Katz, employer, Audible]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audible
Context triple: [Don Katz, employer, Audible]
  • A. Audible chosen
    Audible is a leading audiobook and spoken-word entertainment platform that offers a vast library of audio content through digital downloads and streaming.
  • B. Amazon Music
    Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple devices.
  • C. Kindle Unlimited
    Kindle Unlimited is Amazon’s subscription service that lets members read and listen to a large catalog of ebooks, audiobooks, and digital magazines for a flat monthly fee.
  • D. OverDrive
    OverDrive is a digital distribution platform that lets users borrow ebooks, audiobooks, and other media from public libraries and schools.
  • E. Rdio
    Rdio was an online music streaming service known for its sleek design and social features, founded by Skype co-founder Janus Friis and launched in 2010.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64d12b48190a041d6782c6a13e0 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.