Triple

T3129783
Position Surface form Disambiguated ID Type / Status
Subject Digital Bullet E65381 entity
Predicate recordLabel P1500 FINISHED
Object Koch Records E329829 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: Koch Records | Statement: [Digital Bullet, recordLabel, Koch Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koch Records
Context triple: [Digital Bullet, recordLabel, Koch Records]
  • A. Koch Records chosen
    Koch Records is an independent American record label known for distributing and promoting a wide range of hip-hop and urban music artists.
  • B. Kemosabe Records
    Kemosabe Records is an American record label founded by producer Dr. Luke, known for signing prominent pop and hip-hop artists such as Doja Cat.
  • C. 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.
  • D. K Records
    K Records is an independent record label based in Olympia, Washington, known for its influential role in the DIY, indie rock, and lo-fi music scenes.
  • E. Adeline Records
    Adeline Records was an independent record label co-founded by Green Day’s Billie Joe Armstrong, known for releasing punk rock and pop-punk music in the late 1990s and 2000s.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada549aaa881908dcf92d20fa6f238 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224d860dc819095a864619bc29411 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.