Triple

T15798922
Position Surface form Disambiguated ID Type / Status
Subject The Cannanes E383047 entity
Predicate recordLabel P1500 FINISHED
Object Yo-Yo Records E1177036 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: Yo-Yo Records | Statement: [The Cannanes, recordLabel, Yo-Yo Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yo-Yo Records
Context triple: [The Cannanes, recordLabel, Yo-Yo Records]
  • A. Yoyo Records chosen
    Yoyo Records is an independent record label known for releasing music by artists such as Mirah and other indie and lo-fi acts.
  • B. Polyvinyl Records
    Polyvinyl Records is an independent American record label known for releasing influential indie rock and experimental music.
  • C. Solid State Records
    Solid State Records is a Christian heavy music label known for releasing metalcore and hardcore bands, operating as an imprint under Tooth & Nail Records.
  • D. 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.
  • E. Saint Records
    Saint Records is an independent record label founded by Solange Knowles to champion experimental R&B and underrepresented artists.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e00d348190bc98917c4098ec2f completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12f92e48190bc2886f4070cfc70 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:48 a.m.