Triple

T11895929
Position Surface form Disambiguated ID Type / Status
Subject Freda Josephine McDonald E283033 entity
Predicate performedAt P270 FINISHED
Object Casino de Paris E495217 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 de Paris | Statement: [Freda Josephine McDonald, performedAt, Casino de Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casino de Paris
Context triple: [Freda Josephine McDonald, performedAt, Casino de Paris]
  • A. Casino de Paris chosen
    Casino de Paris is a historic and iconic Parisian music hall and cabaret venue renowned for its variety shows and star performances.
  • 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. Normandie Casino
    Normandie Casino is a long-standing card club and gambling venue located in Gardena, California.
  • D. The Bank casino
    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."
  • E. Casino di Plaisance
    Casino di Plaisance is a Renaissance-era garden pavilion and leisure retreat within the Palazzo Farnese complex at Caprarola, Italy.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1286808190949719f54ff49a01 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41811e5ac8190a3e397e31f19bca1 completed May 1, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:44 p.m.