Triple

T17578923
Position Surface form Disambiguated ID Type / Status
Subject Francis Rattenbury E428145 entity
Predicate notableWork P4 FINISHED
Object The Empress Hotel NE NERFINISHED

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 Empress Hotel | Statement: [Francis Rattenbury, notableWork, The Empress Hotel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Empress Hotel
Context triple: [Francis Rattenbury, notableWork, The Empress Hotel]
  • A. The Empress Hotel chosen
    The Empress Hotel is a historic, grand waterfront hotel in downtown Victoria, British Columbia, renowned for its iconic architecture and traditional afternoon tea.
  • B. Denman Hotel
    Denman Hotel is a historically significant hotel in Denman, New South Wales, recognized for its heritage value and contribution to the town’s cultural and architectural character.
  • C. Fairmont
    Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
  • D. Fairmont
    Fairmont is a city in north-central West Virginia known historically for its role in the coal industry and as part of the greater Morgantown metropolitan area.
  • E. Fairmont
    Fairmont is a small unincorporated community and census-designated place located in Will County, Illinois, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cc493c8190965680cf786aa531 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.