Triple

T12259701
Position Surface form Disambiguated ID Type / Status
Subject Mavin Records E292188 entity
Predicate alsoKnownAs P39 FINISHED
Object Mavin E292188 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: Mavin | Statement: [Mavin Records, alsoKnownAs, Mavin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mavin
Context triple: [Mavin Records, alsoKnownAs, Mavin]
  • A. Mavin Records chosen
    Mavin Records is a prominent Nigerian record label founded by Don Jazzy, known for nurturing major Afrobeats artists and shaping contemporary African pop music.
  • B. Zaytoven
    Zaytoven is an American record producer and DJ known for his influential work in trap music and collaborations with major hip-hop artists.
  • C. Black Milk
    Black Milk is an American hip-hop producer and rapper known for his soulful, drum-heavy beats and collaborations with artists across the Detroit rap scene.
  • D. Kaoma
    Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
  • E. Sarkodie
    Sarkodie is a renowned Ghanaian rapper and songwriter celebrated as one of Africa’s leading hip-hop and Afrobeats artists.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac1b5148190838b782848e3fa36 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.