Triple

T12332782
Position Surface form Disambiguated ID Type / Status
Subject Don't Matter E294004 entity
Predicate partOf P40 FINISHED
Object Konvicted E294006 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: Konvicted | Statement: [Don't Matter, partOf, Konvicted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konvicted
Context triple: [Don't Matter, partOf, Konvicted]
  • A. Konvicted chosen
    Konvicted is Akon's commercially successful second studio album, known for its blend of R&B, hip hop, and pop and hit singles like "Smack That" and "I Wanna Love You."
  • B. The Criminals
    The Criminals is a punk rock band known for featuring guitarist Jason White, who later gained prominence with Green Day.
  • C. Find Me Guilty
    Find Me Guilty is a 2006 courtroom comedy-drama film directed by Sidney Lumet and starring Vin Diesel as a mobster who chooses to defend himself in a lengthy real-life racketeering trial.
  • D. They Made Me a Criminal
    They Made Me a Criminal is a 1939 American crime drama film starring John Garfield as a fugitive boxer entangled in a murder case.
  • E. Defending the Guilty
    Defending the Guilty is a British television comedy-drama series that follows the chaotic professional and personal lives of junior criminal barristers in London.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671837a5c81908a7f41ac7e2bef59 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:53 p.m.