Triple

T9038937
Position Surface form Disambiguated ID Type / Status
Subject Glory Days E216570 entity
Predicate producer P490 FINISHED
Object Chuck Plotkin E211048 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: Chuck Plotkin | Statement: [Glory Days, producer, Chuck Plotkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuck Plotkin
Context triple: [Glory Days, producer, Chuck Plotkin]
  • A. Chuck Plotkin chosen
    Chuck Plotkin is an American record producer and engineer best known for his long-running collaboration with Bruce Springsteen on numerous acclaimed albums.
  • B. Gabe Plotkin
    Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Jeff Kodosky
    Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
  • E. Josh Weinstock
    Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6ac35db081908222e233933060b0 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c6d4a5d08190832f41dd9dc82f41 completed April 4, 2026, 8:07 a.m.
Created at: March 30, 2026, 7:09 p.m.