Triple

T17409480
Position Surface form Disambiguated ID Type / Status
Subject Kees van Dongen E423308 entity
Predicate placeOfDeath P21 FINISHED
Object Monte Carlo 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: Monte Carlo | Statement: [Kees van Dongen, placeOfDeath, Monte Carlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Carlo
Context triple: [Kees van Dongen, placeOfDeath, Monte Carlo]
  • A. Monte Carlo chosen
    Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
  • B. Monte Carlo method
    The Monte Carlo method is a computational technique that uses random sampling to approximate numerical results, especially for complex integrals, simulations, and probabilistic systems.
  • C. The Random
    The Random is a character from the webcomic "Insomnia," likely embodying chaotic or unpredictable elements within the story’s narrative.
  • D. Langevin Block
    The Langevin Block is a historic federal government office building in Ottawa, Canada, that houses the Prime Minister’s Office and senior staff.
  • E. Fale Alea
    Fale Alea is the unicameral national legislature of the Kingdom of Tonga, responsible for making the country’s laws and overseeing the government.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0990f48190b62d73087ae1a0d7 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.