Triple

T8843279
Position Surface form Disambiguated ID Type / Status
Subject Ten E210439 entity
Predicate producer P490 FINISHED
Object Blue Note Records E147054 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 Note Records | Statement: [Ten, producer, Blue Note Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Note Records
Context triple: [Ten, producer, Blue Note Records]
  • A. Blue Note Records chosen
    Blue Note Records is a renowned American jazz record label celebrated for its influential catalog and classic recordings by many of the genre’s most important artists.
  • B. Mack Avenue Records
    Mack Avenue Records is an American jazz-focused independent record label known for its roster of acclaimed contemporary and traditional jazz artists.
  • C. Savoy Records
    Savoy Records is a pioneering American jazz and blues record label renowned for recording influential bebop artists such as Charlie Parker.
  • D. Casablanca Records
    Casablanca Records is an American record label best known for its success in the 1970s disco era, releasing influential albums by artists such as Donna Summer, Kiss, and Parliament.
  • E. Sugar Hill Records
    Sugar Hill Records was a pioneering hip hop record label best known for releasing "Rapper's Delight" and helping bring rap music into the mainstream in the late 1970s and early 1980s.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc608946cc8190bed3c340ba303b9c completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054339b988190849092f178a7af2c completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 6:48 p.m.