Triple

T2748010
Position Surface form Disambiguated ID Type / Status
Subject Joël Cantona E60915 entity
Predicate givenName P17 FINISHED
Object Joël
Joël is a masculine given name of biblical origin, derived from Hebrew and commonly used in French-speaking and other European countries.
 E280308 NE FINISHED

How this triple was built (4 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: [Joël Cantona, givenName, Joël]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joël
Context triple: [Joël Cantona, givenName, 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
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joël
Triple: [Joël Cantona, givenName, Joël]
Generated description
Joël is a masculine given name of biblical origin, derived from Hebrew and commonly used in French-speaking and other European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joël
Target entity description: Joël is a masculine given name of biblical origin, derived from Hebrew and commonly used in French-speaking and other European countries.
  • 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.

Provenance (5 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd341a88190ae0f5eb94a6fdc92 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbd8563248190af593099ecae84ee completed March 10, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69afbdb28a708190bbd4bc6632b8e137 completed March 10, 2026, 6:44 a.m.
Created at: March 6, 2026, 9:56 p.m.