Triple

T3558941
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Vilas E75286 entity
Predicate hasResidence P75 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: [Guillermo Vilas, hasResidence, Monte Carlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Carlo
Context triple: [Guillermo Vilas, hasResidence, 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. Simm
    Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
  • D. Manziana
    Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
  • E. de Mille
    De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0881d50819092332491b9527c9d completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9983f48190bda2749d93c74a8d completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.