Triple

T22980890
Position Surface form Disambiguated ID Type / Status
Subject George Forrest E571459 entity
Predicate notableWork P4 FINISHED
Object Grand 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: Grand Hotel | Statement: [George Forrest, notableWork, Grand Hotel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Hotel
Context triple: [George Forrest, notableWork, Grand Hotel]
  • A. Grand Hotel
    Grand Hotel is a historic luxury resort on Michigan’s Mackinac Island, famed for its massive front porch, Victorian architecture, and views over the Straits of Mackinac.
  • B. Grand Hotel chosen
    Grand Hotel is a classic 1932 ensemble drama film set in a luxurious Berlin hotel, renowned for its star-studded cast and intersecting storylines.
  • C. Grand Hotel
    Grand Hotel is a common name for upscale or historic hotels in various cities worldwide, often associated with luxury accommodations and classic architecture.
  • D. Grand Hotel
    Grand Hotel is a 1973 symphonic rock album by British band Procol Harum, noted for its lush orchestration and theatrical, baroque-influenced style.
  • E. Grand Hotel Hairpin
    The Grand Hotel Hairpin is a famously tight, slow-speed hairpin turn on the Monaco Grand Prix street circuit, known as one of the most iconic and challenging corners in Formula 1 racing.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829589548190863619aebcae026c completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.