Triple

T3723259
Position Surface form Disambiguated ID Type / Status
Subject Joel E81687 entity
Predicate hasVariant P455 FINISHED
Object Joël E280308 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: Joël | Statement: [Joel, hasVariant, Joël]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joël
Context triple: [Joel, hasVariant, Joël]
  • A. Julien BriseBois
    Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
  • B. Joël Ouaknine chosen
    Joël Ouaknine is a computer scientist known for his work in formal verification, automata theory, and the analysis of infinite-state and probabilistic systems.
  • C. Julien Flegenheimer
    Julien Flegenheimer was an architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Olivier Le Jeune
    Olivier Le Jeune was the first recorded Black person to be enslaved in New France (present-day Canada) in the early 17th century.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf3f2ec8190a3a8f363cfb762f3 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1b25088190958c427c932641e1 completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:34 p.m.