Triple

T22784021
Position Surface form Disambiguated ID Type / Status
Subject Sarah Vaughan E563914 entity
Predicate recordLabel P1500 FINISHED
Object EmArcy 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: EmArcy Records | Statement: [Sarah Vaughan, recordLabel, EmArcy Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EmArcy Records
Context triple: [Sarah Vaughan, recordLabel, EmArcy Records]
  • A. EmArcy Records chosen
    EmArcy Records is a jazz-focused record label, originally a Mercury Records imprint, known for releasing influential recordings by artists such as Erroll Garner.
  • B. Daybreak Records
    Daybreak Records is a music label known for releasing recordings by American singer and bandleader Frank Sinatra Jr.
  • C. Summerfold Records
    Summerfold Records is a British jazz and progressive music label founded by drummer and bandleader Bill Bruford as part of his Earthworks-related recording ventures.
  • D. Maverick Records
    Maverick Records is an American record label co-founded by Madonna in the early 1990s, known for signing influential pop and alternative artists.
  • E. La-La Land Records
    La-La Land Records is a specialty record label known for releasing limited-edition film and television soundtracks, particularly scores for genre and cult productions.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2f9ba48190996b4c3926728c03 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.