Triple

T20118544
Position Surface form Disambiguated ID Type / Status
Subject Yo La Tengo E490532 entity
Predicate recordLabel P1500 FINISHED
Object Bar/None 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: Bar/None Records | Statement: [Yo La Tengo, recordLabel, Bar/None Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bar/None Records
Context triple: [Yo La Tengo, recordLabel, Bar/None Records]
  • A. Bar/None Records chosen
    Bar/None Records is an independent American record label known for releasing music by a diverse roster of alternative and indie artists.
  • B. Birdman Records
    Birdman Records is an independent music label known for releasing eclectic and often experimental rock and alternative artists.
  • C. Barsuk Records
    Barsuk Records is an independent Seattle-based record label known for releasing influential indie rock and alternative music from artists such as Death Cab for Cutie and Rilo Kiley.
  • D. Myrrh Records
    Myrrh Records was a prominent Christian music label known for releasing contemporary and gospel recordings from the 1970s onward.
  • E. Arbutus Records
    Arbutus Records is an independent Montreal-based record label known for nurturing experimental and avant-pop artists, including early releases by Grimes.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673c32bc8190a52875961fbcc5e2 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.