Triple

T15408657
Position Surface form Disambiguated ID Type / Status
Subject God Forgives, I Don’t E368527 entity
Predicate producer P490 FINISHED
Object Jake One E361730 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: Jake One | Statement: [God Forgives, I Don’t, producer, Jake One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jake One
Context triple: [God Forgives, I Don’t, producer, Jake One]
  • A. Jake One chosen
    Jake One is an American hip-hop record producer known for his soulful, sample-based beats and work with artists across the underground and mainstream rap scenes.
  • B. A-Trak
    A-Trak is a Canadian DJ, turntablist, and record producer known for his championship-level scratching skills and influential work in electronic and hip-hop music.
  • C. Hudson Mohawke
    Hudson Mohawke is a Scottish electronic music producer and DJ known for his influential, genre-blending work in experimental hip hop and electronic music, including production for major rap and pop artists.
  • D. DJ Dahi
    DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
  • E. DJ Koze
    DJ Koze is a German DJ and producer known for his eclectic, genre-blending electronic music and critically acclaimed albums and remixes.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135bcb5c8190a1f43c6bb6a0e53c completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.