Triple

T3125995
Position Surface form Disambiguated ID Type / Status
Subject Crack Music E65297 entity
Predicate writer P1360 FINISHED
Object Warryn Campbell E110893 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: Warryn Campbell | Statement: [Crack Music, writer, Warryn Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warryn Campbell
Context triple: [Crack Music, writer, Warryn Campbell]
  • A. Warryn Campbell chosen
    Warryn Campbell is an American record producer, songwriter, and multi-instrumentalist known for his work across hip hop, R&B, and gospel with artists such as Kanye West, Mary Mary, and Alicia Keys.
  • B. Jamie Waring
    Jamie Waring is the swashbuckling pirate-turned-hero who serves as the central protagonist of the adventure film "The Black Swan."
  • C. Ian Meakins
    Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
  • D. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • E. Kevan Jones
    Kevan Jones is a British Labour Party politician and Member of Parliament known for his work on defence issues, including a period serving as Minister of State for the Armed Forces.
  • 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_69ada52e9f348190aa15b2c0d252719f completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354528b00819095fa9b8f28f2135c completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:04 p.m.