Triple

T19553531
Position Surface form Disambiguated ID Type / Status
Subject Paper Trail E489251 entity
Predicate producer P490 FINISHED
Object Jim Jonsin NE NERFINISHED

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: Jim Jonsin | Statement: [Paper Trail, producer, Jim Jonsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Jonsin
Context triple: [Paper Trail, producer, Jim Jonsin]
  • A. Jim Jonsin chosen
    Jim Jonsin is a Grammy-winning American record producer and songwriter known for crafting hit tracks across hip hop, pop, and R&B for artists such as Beyoncé, Lil Wayne, and T.I.
  • B. Josh Sklair
    Josh Sklair is a guitarist and record producer best known for his long-time work with Etta James and contributions to blues and soul recordings.
  • C. Jim Ryerson
    Jim Ryerson is an American Thoroughbred racehorse trainer best known for conditioning top-level runners such as Unbridled's Song.
  • D. 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.
  • E. Mikal Gilmore
    Mikal Gilmore is an American journalist and author best known for his memoir "Shot in the Heart," which explores the troubled history of his family and his brother Gary Gilmore.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d315c68819087402802d624a8c9 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.