Triple

T14127354
Position Surface form Disambiguated ID Type / Status
Subject Blossom Dearie E340067 entity
Predicate recordLabel P1500 FINISHED
Object Fontana Records E217175 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: Fontana Records | Statement: [Blossom Dearie, recordLabel, Fontana Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fontana Records
Context triple: [Blossom Dearie, recordLabel, Fontana Records]
  • A. Fontana Records chosen
    Fontana Records is a British record label known for releasing a wide range of pop, rock, and jazz recordings, particularly during the 1960s and 1970s.
  • B. Riviera Records
    Riviera Records is a music label known for releasing work by American rapper Coolio.
  • C. Rosemart Records
    Rosemart Records is a music label associated with American soul and R&B singer-songwriter Don Covay, known for releasing his work during the height of his recording career.
  • D. Riverside Records
    Riverside Records was an influential American jazz record label, especially prominent in the 1950s and 1960s, known for recording major artists such as Thelonious Monk, Bill Evans, and Chet Baker.
  • E. Brando Records
    Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15cbbb0819099b84032d65cfdb0 completed May 8, 2026, 1:13 p.m.
Created at: April 9, 2026, 10:22 p.m.