Triple

T18667113
Position Surface form Disambiguated ID Type / Status
Subject Oh Girl E456363 entity
Predicate recordLabel P1500 FINISHED
Object Brunswick 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: Brunswick Records | Statement: [Oh Girl, recordLabel, Brunswick Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunswick Records
Context triple: [Oh Girl, recordLabel, Brunswick Records]
  • A. Brunswick Records chosen
    Brunswick Records is an American record label historically known for releasing influential jazz, pop, and early rock and roll recordings.
  • B. Bell Records
    Bell Records was an American record label active primarily in the 1950s–1970s, known for releasing pop and R&B hits by artists such as The Drifters and later evolving into Arista Records.
  • C. Duke Records
    Duke Records was an influential American rhythm and blues and soul record label, best known for releasing classic recordings by artists such as Bobby "Blue" Bland.
  • D. Savoy Records
    Savoy Records is a pioneering American jazz and blues record label renowned for recording influential bebop artists such as Charlie Parker.
  • E. Fonograf Records
    Fonograf Records is an independent record label known for releasing critically acclaimed and artistically driven music projects.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556ad88b481908bd008d469e878fd completed April 19, 2026, 10:26 p.m.
Created at: April 10, 2026, 11:48 a.m.