Triple

T4273448
Position Surface form Disambiguated ID Type / Status
Subject Counting Crows E96989 entity
Predicate recordLabel P1500 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: [Counting Crows, recordLabel, DGC Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DGC Records
Context triple: [Counting Crows, recordLabel, 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. Enigma Records
    Enigma Records was an American independent record label active primarily in the 1980s, known for releasing influential alternative rock, punk, and underground music.
  • E. 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.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ffe44508190875d734eb18dfb87 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db83dd308190a8d1824157d011ce completed March 14, 2026, 10:04 p.m.
Created at: March 12, 2026, 11:07 p.m.