Triple

T10039269
Position Surface form Disambiguated ID Type / Status
Subject Jean-Jacques-Régis de Cambacérès E205251 entity
Predicate givenName P17 FINISHED
Object Régis
Régis is a masculine given name of French origin, historically borne by notable figures such as the statesman Jean-Jacques-Régis de Cambacérès.
 E837236 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: Régis | Statement: [Jean-Jacques-Régis de Cambacérès, givenName, Régis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Régis
Context triple: [Jean-Jacques-Régis de Cambacérès, givenName, Régis]
  • A. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • B. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • C. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • 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: Régis
Triple: [Jean-Jacques-Régis de Cambacérès, givenName, Régis]
Generated description
Régis is a masculine given name of French origin, historically borne by notable figures such as the statesman Jean-Jacques-Régis de Cambacérès.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Régis
Target entity description: Régis is a masculine given name of French origin, historically borne by notable figures such as the statesman Jean-Jacques-Régis de Cambacérès.
  • A. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • B. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • C. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee186708190bc9fecd637b4f7e6 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28268ab648190a565472d00b289c2 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d283c516708190b3a1c363841787fc completed April 5, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_69d284956730819099e5cd918e722fd8 completed April 5, 2026, 3:49 p.m.
Created at: March 30, 2026, 8:55 p.m.