Triple

T5676127
Position Surface form Disambiguated ID Type / Status
Subject Passion, Pain & Demon Slayin' E125089 entity
Predicate producer P490 FINISHED
Object Frank Dukes E249536 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: Frank Dukes | Statement: [Passion, Pain & Demon Slayin', producer, Frank Dukes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Dukes
Context triple: [Passion, Pain & Demon Slayin', producer, Frank Dukes]
  • A. Frank Dukes chosen
    Frank Dukes is a Canadian record producer and songwriter known for his influential sample libraries and work with major hip-hop and R&B artists.
  • B. Fred Maynard
    Fred Maynard was an early 20th-century Aboriginal Australian activist and leader who championed Indigenous rights, land justice, and self-determination.
  • C. Alvino Rey
    Alvino Rey was an American jazz and swing guitarist and bandleader, widely recognized as a pioneer of the electric guitar and pedal steel guitar in popular music.
  • D. Henry Woods
    Henry Woods is a personal name shared by multiple notable individuals across fields such as politics, law, and the arts.
  • E. Sam Jones
    Sam Jones is the widowed farmer and central protagonist of the television sitcom "Mayberry R.F.D.," who continues the small-town stories spun off from "The Andy Griffith Show."
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023728f488190a3622844d78caa13 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dbbbe9081908d1915b898722c18 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:43 p.m.