Triple

T12570567
Position Surface form Disambiguated ID Type / Status
Subject Konvict Muzik E295589 entity
Predicate hasImprint P2763 FINISHED
Object KonLive Distribution E200827 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: KonLive Distribution | Statement: [Konvict Muzik, hasImprint, KonLive Distribution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KonLive Distribution
Context triple: [Konvict Muzik, hasImprint, KonLive Distribution]
  • A. KonLive Distribution chosen
    KonLive Distribution is a record label and music imprint founded by Akon, known for launching and distributing the early releases of major pop acts such as Lady Gaga.
  • B. Onda Entertainment
    Onda Entertainment is a film and television production company known for working on projects such as the crime thriller "Savages" (2012).
  • C. Clarius Entertainment
    Clarius Entertainment is an American film distribution company known for releasing independent and mid-budget feature films.
  • D. Nettwerk
    Nettwerk is a Canadian independent record label and management company known for working with a diverse roster of alternative, electronic, and world music artists.
  • E. StoneBrook Entertainment
    StoneBrook Entertainment is a film production company known for producing the romantic comedy feature "She Wants Me."
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a422c88190a22cc34d2eac00ce completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559336088190874123c06c86630e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:50 p.m.