Triple

T8639720
Position Surface form Disambiguated ID Type / Status
Subject Willy Bank E204613 entity
Predicate owns P347 FINISHED
Object The Bank casino E746539 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: The Bank casino | Statement: [Willy Bank, owns, The Bank casino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bank casino
Context triple: [Willy Bank, owns, The Bank casino]
  • A. The Bank casino chosen
    The Bank casino is a fictional high-end Las Vegas gambling resort owned and operated by ruthless hotelier Willy Bank in the film "Ocean's Thirteen."
  • B. Monte Carlo Casino
    Monte Carlo Casino is a historic and opulent gambling and entertainment complex in Monaco, renowned for its grand architecture and association with luxury and high-stakes gaming.
  • C. Casino de Paris
    Casino de Paris is a historic and iconic Parisian music hall and cabaret venue renowned for its variety shows and star performances.
  • D. Empire City Casino
    Empire City Casino is a major gaming and entertainment complex located in Yonkers, just north of New York City.
  • E. Montbenon Casino
    Montbenon Casino is a historic cultural and event venue in Lausanne, Switzerland, known for hosting performances, festivals, and public gatherings.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb10f0881908db334cd090d3231 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.