Triple

T484498
Position Surface form Disambiguated ID Type / Status
Subject Charles-Michel Trudaine de la Sablière E9844 entity
Predicate familyName P18 FINISHED
Object Trudaine
Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
 E61223 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: Trudaine | Statement: [Charles-Michel Trudaine de la Sablière, familyName, Trudaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trudaine
Context triple: [Charles-Michel Trudaine de la Sablière, familyName, Trudaine]
  • A. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • D. Ahlden
    Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
  • E. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • 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: Trudaine
Triple: [Charles-Michel Trudaine de la Sablière, familyName, Trudaine]
Generated description
Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trudaine
Target entity description: Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
  • A. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • D. Ahlden
    Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
  • E. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0ba310c81909645ef7e8a20b52f completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4777d131c8190a9e6dea9fef49486 completed March 1, 2026, 5:29 p.m.
NEDg Description generation batch_69a477e9a9ec8190a30ae1466aad9108 completed March 1, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_69a4785561b88190954c78f96e2d4b44 completed March 1, 2026, 5:33 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.