Triple

T15798193
Position Surface form Disambiguated ID Type / Status
Subject Mirah E383033 entity
Predicate recordLabel P1500 FINISHED
Object K Records 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: K Records | Statement: [Mirah, recordLabel, K Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K Records
Context triple: [Mirah, recordLabel, K Records]
  • A. K Records chosen
    K Records is an independent record label based in Olympia, Washington, known for its influential role in the DIY, indie rock, and lo-fi music scenes.
  • B. Birdman Records
    Birdman Records is an independent music label known for releasing eclectic and often experimental rock and alternative artists.
  • C. Bedrock Records
    Bedrock Records is a prominent UK electronic music label co-founded by John Digweed, known for its influential progressive house and techno releases.
  • D. Streamline Records
    Streamline Records is a record label associated with major pop acts, notably helping launch the early career of American singer-songwriter Lady Gaga.
  • E. Light Records
    Light Records is a gospel music record label known for releasing influential Christian and choir recordings, particularly in the 1970s and 1980s.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
Created at: April 10, 2026, 4:48 a.m.