Triple

T2835449
Position Surface form Disambiguated ID Type / Status
Subject Edie Brickell E62336 entity
Predicate recordLabel P1500 FINISHED
Object Fantasy Records E211003 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: Fantasy Records | Statement: [Edie Brickell, recordLabel, Fantasy Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantasy Records
Context triple: [Edie Brickell, recordLabel, Fantasy Records]
  • A. Fantasy Records chosen
    Fantasy Records is an American independent record label best known for its influential jazz catalog, including releases by artists like Dave Brubeck and Vince Guaraldi.
  • B. Fontana Records
    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.
  • C. EmArcy Records
    EmArcy Records is a jazz-focused record label, originally a Mercury Records imprint, known for releasing influential recordings by artists such as Erroll Garner.
  • D. 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.
  • E. Rowdy Records
    Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8c45c548190ac67b94a845cc730 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.