Triple

T6899080
Position Surface form Disambiguated ID Type / Status
Subject Maynard Ferguson E159446 entity
Predicate recordLabel P1500 FINISHED
Object MPS Records E550003 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: MPS Records | Statement: [Maynard Ferguson, recordLabel, MPS Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPS Records
Context triple: [Maynard Ferguson, recordLabel, MPS Records]
  • A. MPS Records chosen
    MPS Records is a German jazz record label renowned for its high-fidelity recordings and collaborations with prominent artists such as Oscar Peterson.
  • B. Mushroom Records
    Mushroom Records was a prominent Australian independent record label known for signing influential rock and pop acts from the 1970s onward.
  • C. ZTT Records
    ZTT Records is a British record label co-founded by producer Trevor Horn, known for its innovative and experimental pop and electronic releases in the 1980s and beyond.
  • D. Round Records
    Round Records is a music label known for releasing recordings by the American rock band Kingfish and other related artists.
  • E. Streamline Records
    Streamline Records is a record label associated with major pop acts, notably helping launch the early career of American singer-songwriter Lady Gaga.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95d67448190857f36b8115b03f6 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748eb23888190bca6e42dc03ab31b completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:24 p.m.