Triple

T9995431
Position Surface form Disambiguated ID Type / Status
Subject Joel Kinnaman E197190 entity
Predicate notableWork P4 FINISHED
Object Easy Money (Snabba cash) E586703 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: Easy Money (Snabba cash) | Statement: [Joel Kinnaman, notableWork, Easy Money (Snabba cash)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easy Money (Snabba cash)
Context triple: [Joel Kinnaman, notableWork, Easy Money (Snabba cash)]
  • A. Snabba Cash chosen
    Snabba Cash is a Swedish crime thriller film (and subsequent franchise) about the violent intersection of organized crime and ambition in Stockholm’s underworld.
  • B. easyMoney
    easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
  • C. Shmoney
    Shmoney is a slang term popularized by rapper Bobby Shmurda’s viral “Shmoney Dance,” often used to refer to money or a flashy, carefree lifestyle.
  • D. Ola Money
    Ola Money is a digital wallet and payments service offered by Indian ride-hailing company Ola, enabling users to make cashless transactions for rides and other online services.
  • E. The Money Store
    The Money Store is a financial services company best known as a major U.S. home equity and mortgage lender that gained prominence in the late 20th century.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb99ac74819091f20816478ea375 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258336ab8819098d4878b8c106d86 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.