Triple

T4108821
Position Surface form Disambiguated ID Type / Status
Subject Joe Pesci E88518 entity
Predicate notableWork P4 FINISHED
Object Casino E239181 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: Casino | Statement: [Joe Pesci, notableWork, Casino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casino
Context triple: [Joe Pesci, notableWork, Casino]
  • A. Casino chosen
    "Casino" is a 1995 crime drama film directed by Martin Scorsese that explores the rise and fall of a Las Vegas casino boss and the mob's influence over the gambling industry.
  • B. Casino
    Casino is a town in northern New South Wales, Australia, known as a regional service centre and gateway to the surrounding agricultural and beef-producing areas.
  • C. Casino 2000
    Casino 2000 is a prominent entertainment complex in Mondorf-les-Bains, Luxembourg, featuring a casino, dining venues, and event spaces.
  • D. Bringing Down the House
    Bringing Down the House is a 2003 comedy film starring Steve Martin and Queen Latifah about an uptight lawyer whose life is upended when an ex-con he met online shows up at his door.
  • E. The Gambler
    The Gambler is a classic country song and album by Kenny Rogers that tells the story of life lessons learned from a seasoned card player, becoming one of his signature hits.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01da2b88819088a45401c0ec743a completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:40 p.m.