Triple

T13830463
Position Surface form Disambiguated ID Type / Status
Subject Phrenology E332382 entity
Predicate producer P490 FINISHED
Object Jay Dee E136415 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: Jay Dee | Statement: [Phrenology, producer, Jay Dee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Dee
Context triple: [Phrenology, producer, Jay Dee]
  • A. Jay Dee chosen
    Jay Dee was the influential American hip-hop producer and rapper J Dilla, renowned for his innovative, soulful, and off-kilter beat-making style.
  • B. Jay Dee Daugherty
    Jay Dee Daugherty is an American rock drummer best known for his longtime work with Patti Smith and contributions to the 1970s New York punk and new wave scenes.
  • C. Jay E
    Jay E is an American record producer best known for crafting the distinctive sound of early 2000s St. Louis hip hop, including much of Nelly’s breakthrough work.
  • D. Dee Jay Mathis
    Dee Jay Mathis is an American woman best known for being the first wife of actor James Caan.
  • E. Jay Deuby
    Jay Deuby is a film editor known for his work on the independent horror-comedy movie "Baghead."
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0eb7f44819087b1d24e4235a972 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:13 p.m.