Triple

T954323
Position Surface form Disambiguated ID Type / Status
Subject Clement E20592 entity
Predicate hasVariant P455 FINISHED
Object Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
 E142943 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: Clément | Statement: [Clement, hasVariant, Clément]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clément
Context triple: [Clement, hasVariant, Clément]
  • A. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • B. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • E. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • 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: Clément
Triple: [Clement, hasVariant, Clément]
Generated description
Clément is a French given name, equivalent to Clement in English, commonly used for males.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clément
Target entity description: Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • A. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • B. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • E. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3da8d508190b56b29d7f235d2c4 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93a1fc5c819089ab10a6f0ed062b completed March 7, 2026, 9:07 p.m.
NEDg Description generation batch_69ac9407377c8190a8c94d907566f37a completed March 7, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69ac9455b87c8190ba6b60f1605d0108 completed March 7, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:40 p.m.