Triple

T3929792
Position Surface form Disambiguated ID Type / Status
Subject David Geffen E93367 entity
Predicate founded P104 FINISHED
Object DGC Records E71675 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: DGC Records | Statement: [David Geffen, founded, DGC Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DGC Records
Context triple: [David Geffen, founded, DGC Records]
  • A. DGC Records chosen
    DGC Records was an American record label, best known for signing influential alternative rock and hip-hop artists during the late 1980s and 1990s.
  • B. 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.
  • C. NPG Records
    NPG Records is an independent record label founded by Prince, known for releasing his music and that of associated artists.
  • D. Up/Down Records
    Up/Down Records is an independent record label founded by the alternative rock band Blue October to release their music and related projects.
  • E. 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.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda7cf3c81909df30744bddbad7e completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53ff373c081908e512ba2e65fc774 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:23 p.m.