Triple

T7299085
Position Surface form Disambiguated ID Type / Status
Subject Johnny Winter E167793 entity
Predicate recordLabel P1500 FINISHED
Object Blue Sky Records E551517 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: Blue Sky Records | Statement: [Johnny Winter, recordLabel, Blue Sky Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Sky Records
Context triple: [Johnny Winter, recordLabel, Blue Sky Records]
  • A. Blue Sky Records chosen
    Blue Sky Records was a record label known for releasing blues and rock albums, including work by legendary blues musician Muddy Waters.
  • B. Arista Records
    Arista Records is a major American record label known for signing and promoting numerous successful artists across pop, R&B, and rock music.
  • C. Curb Records
    Curb Records is an American independent record label known for its roster of country and Christian music artists, including LeAnn Rimes.
  • D. Barclay Records
    Barclay Records is a historic French record label known for signing prominent Francophone artists and contributing significantly to French popular music.
  • E. King Records
    King Records was an influential American independent record label, particularly known for its R&B, country, and early rock and roll releases in the mid-20th century.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebad1b4481909e49ccc580007e4b completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c934c199f08190a8fbb7f3c6f5464c completed March 29, 2026, 2:18 p.m.
Created at: March 27, 2026, 3 p.m.