Triple

T22158298
Position Surface form Disambiguated ID Type / Status
Subject Aurélien E547598 entity
Predicate hasRelatedName P3889 FINISHED
Object Aurélie
Aurélie is a French given name, typically feminine, derived from the Latin "Aurelius" and associated with meanings related to "golden" or "gilded."
 E1521708 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: Aurélie | Statement: [Aurélien, hasRelatedName, Aurélie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurélie
Context triple: [Aurélien, hasRelatedName, Aurélie]
  • A. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • B. Valérie
    Valérie is a French feminine given name commonly used in Francophone countries.
  • C. Aurélie Dupont
    Aurélie Dupont is a renowned French ballerina and former étoile of the Paris Opera Ballet who later became the company’s artistic director.
  • D. Sandrine
    Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
  • E. Clémence
    Clémence is the given name of Jeanne Clémence Weil, best known as the mother of French writer Marcel Proust.
  • 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: Aurélie
Triple: [Aurélien, hasRelatedName, Aurélie]
Generated description
Aurélie is a French given name, typically feminine, derived from the Latin "Aurelius" and associated with meanings related to "golden" or "gilded."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aurélie
Target entity description: Aurélie is a French given name, typically feminine, derived from the Latin "Aurelius" and associated with meanings related to "golden" or "gilded."
  • A. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • B. Valérie
    Valérie is a French feminine given name commonly used in Francophone countries.
  • C. Aurélie Dupont
    Aurélie Dupont is a renowned French ballerina and former étoile of the Paris Opera Ballet who later became the company’s artistic director.
  • D. Sandrine
    Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
  • E. Clémence
    Clémence is the given name of Jeanne Clémence Weil, best known as the mother of French writer Marcel Proust.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a2b5b10819090630fbadacb67af completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970eca1081909e9927541a961961 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a977e9df08190a465d0005fccad4e completed May 18, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a97f868188190a2b1286bc3751e54 completed May 18, 2026, 4:39 a.m.
Created at: April 16, 2026, 8:33 p.m.