Triple

T6717350
Position Surface form Disambiguated ID Type / Status
Subject John Janick E153304 entity
Predicate employer P7 FINISHED
Object Interscope Records E27326 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: Interscope Records | Statement: [John Janick, employer, Interscope Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interscope Records
Context triple: [John Janick, employer, Interscope Records]
  • A. Interscope Records chosen
    Interscope Records is a major American record label known for signing and promoting many globally successful rock, hip-hop, and pop artists.
  • B. Interscope Geffen A&M
    Interscope Geffen A&M is a major American record label group under Universal Music Group, formed by the consolidation of Interscope, Geffen, and A&M Records.
  • C. Interscope Communications
    Interscope Communications was an American film production company active primarily in the 1980s and 1990s, known for producing a range of mainstream Hollywood movies.
  • D. Universal Records
    Universal Records was a major American record label that operated under the Universal Music Group umbrella and released music across a wide range of popular genres.
  • E. Epic Records
    Epic Records is a major American record label known for signing and promoting numerous globally successful artists across pop, R&B, and rock music.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d12765a48190b485176dc2ffa0fa completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70ae438b0819086449c169e5c7e49 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:07 p.m.