Triple

T522774
Position Surface form Disambiguated ID Type / Status
Subject Theodore Beza E10853 entity
Predicate spouse P13 FINISHED
Object Claudine Denosse
Claudine Denosse was the wife of the prominent 16th-century Reformed theologian and Calvinist leader Theodore Beza.
 E69191 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: Claudine Denosse | Statement: [Theodore Beza, spouse, Claudine Denosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Claudine Denosse
Context triple: [Theodore Beza, spouse, Claudine Denosse]
  • A. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • B. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • C. Estelle Rosenbaum Blanc
    Estelle Rosenbaum Blanc was the longtime wife of famed voice actor Mel Blanc and the mother of their son, producer Noel Blanc.
  • D. Alice Hoschedé
    Alice Hoschedé was the second wife and longtime companion of French Impressionist painter Claude Monet, known for managing his household and supporting his artistic career.
  • E. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • 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: Claudine Denosse
Triple: [Theodore Beza, spouse, Claudine Denosse]
Generated description
Claudine Denosse was the wife of the prominent 16th-century Reformed theologian and Calvinist leader Theodore Beza.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Claudine Denosse
Target entity description: Claudine Denosse was the wife of the prominent 16th-century Reformed theologian and Calvinist leader Theodore Beza.
  • A. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • B. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • C. Estelle Rosenbaum Blanc
    Estelle Rosenbaum Blanc was the longtime wife of famed voice actor Mel Blanc and the mother of their son, producer Noel Blanc.
  • D. Alice Hoschedé
    Alice Hoschedé was the second wife and longtime companion of French Impressionist painter Claude Monet, known for managing his household and supporting his artistic career.
  • E. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b4f01881908b408357ff113308 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f1e5908190850594ccb37f364a completed March 2, 2026, 1:12 a.m.
NEDg Description generation batch_69a4e45cc06c8190901ab3d5182be133 completed March 2, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69a4e4b1ea148190a160dc43727a281a completed March 2, 2026, 1:15 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.