Triple

T6820914
Position Surface form Disambiguated ID Type / Status
Subject Junius Spencer Morgan E156894 entity
Predicate placeOfDeath P21 FINISHED
Object Monte Carlo E99128 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: Monte Carlo | Statement: [Junius Spencer Morgan, placeOfDeath, Monte Carlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Carlo
Context triple: [Junius Spencer Morgan, 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. 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.
  • C. 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.
  • D. Monolith plateau
    Monolith plateau is a prominent elevated area forming part of the Monolith structure, characterized by its flat topography and expansive, open surface.
  • E. Simm
    Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d359176c8190a34664ba2fcf7ee2 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723eb23c8819085d2e8a8ce9c3c90 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.