Triple

T3986364
Position Surface form Disambiguated ID Type / Status
Subject Médard des Groseilliers E86881 entity
Predicate givenName P17 FINISHED
Object Médard
Médard is a masculine French given name of Christian origin, historically associated with Saint Médard and used in various Francophone regions.
E404974 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: Médard | Statement: [Médard des Groseilliers, givenName, Médard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Médard
Context triple: [Médard des Groseilliers, givenName, Médard]
  • A. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • B. Sylvanus
    Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • E. Fillion
    Fillion is the surname of Canadian-American actor Nathan Fillion, best known for his leading roles in the television series "Firefly" and "Castle."
  • 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: Médard
Triple: [Médard des Groseilliers, givenName, Médard]
Generated description
Médard is a masculine French given name of Christian origin, historically associated with Saint Médard and used in various Francophone regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Médard
Target entity description: Médard is a masculine French given name of Christian origin, historically associated with Saint Médard and used in various Francophone regions.
  • A. Bertramus
    Bertramus is a Latinized variant of the given name Bertram, historically used in medieval and ecclesiastical contexts.
  • B. Sylvanus
    Sylvanus is the full given name of Canadian ice hockey legend Syl Apps, a Hall of Fame center known for his career with the Toronto Maple Leafs.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • E. Fillion
    Fillion is the surname of Canadian-American actor Nathan Fillion, best known for his leading roles in the television series "Firefly" and "Castle."
  • F. None of above. chosen

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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9fe355081909b04662ab44fe2ca completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402bbe208190947321353c309c98 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54126234c8190990cf6df84a83e92 completed March 14, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69b5458d736481908ca826fa4fd01b8c completed March 14, 2026, 11:25 a.m.
Created at: March 9, 2026, 3:33 p.m.