Triple

T22211158
Position Surface form Disambiguated ID Type / Status
Subject Thibaud E548948 entity
Predicate hasVariant P455 FINISHED
Object Thiebaut
Thiebaut is a French given name and surname, historically associated with medieval nobility and still found in contemporary Francophone regions.
 E1525864 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: Thiebaut | Statement: [Thibaud, hasVariant, Thiebaut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thiebaut
Context triple: [Thibaud, hasVariant, Thiebaut]
  • A. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • B. Béraud
    Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
  • C. Juprelle
    Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
  • D. Thomazeau
    Thomazeau is a commune in Haiti known for its rural character and location near the country's western border with the Dominican Republic.
  • E. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • 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: Thiebaut
Triple: [Thibaud, hasVariant, Thiebaut]
Generated description
Thiebaut is a French given name and surname, historically associated with medieval nobility and still found in contemporary Francophone regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thiebaut
Target entity description: Thiebaut is a French given name and surname, historically associated with medieval nobility and still found in contemporary Francophone regions.
  • A. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • B. Béraud
    Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
  • C. Juprelle
    Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
  • D. Thomazeau
    Thomazeau is a commune in Haiti known for its rural character and location near the country's western border with the Dominican Republic.
  • E. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2bcf748190a9721f0c9ae17e70 completed April 28, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae66ee5c8190be56910aaecce5d6 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0aaf2f24588190a08dc5158603ee9b completed May 18, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab02b3ba48190a8d462a5f68995f2 completed May 18, 2026, 6:22 a.m.
Created at: April 16, 2026, 8:36 p.m.