Triple

T5718390
Position Surface form Disambiguated ID Type / Status
Subject Man on the Moon II: The Legend of Mr. Rager E126076 entity
Predicate producer P490 FINISHED
Object Jim Jonsin E184059 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: Jim Jonsin | Statement: [Man on the Moon II: The Legend of Mr. Rager, producer, Jim Jonsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jim Jonsin
Context triple: [Man on the Moon II: The Legend of Mr. Rager, 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. 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.
  • C. Justin Raisen
    Justin Raisen is an American record producer and songwriter known for his work with a wide range of indie, pop, and alternative artists.
  • D. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • E. Jay
    Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e084cc81909a652f7c10d32c32 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a7af5788190827ff8050eb6416d completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.