Triple

T20525369
Position Surface form Disambiguated ID Type / Status
Subject Sandrine Holt E503920 entity
Predicate givenName P17 FINISHED
Object Sandrine
Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
 E1437814 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: Sandrine | Statement: [Sandrine Holt, givenName, Sandrine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sandrine
Context triple: [Sandrine Holt, givenName, Sandrine]
  • A. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • B. Sandrine Peyrard
    Sandrine Peyrard is a professional editor known for her work in refining and overseeing written content.
  • C. Nathalie
    Nathalie is a feminine given name of French origin commonly used in many European and French-speaking countries.
  • D. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • E. Stéphanie
    Stéphanie is a Monegasque princess, singer, and fashion designer, best known as the youngest child of Prince Rainier III and Grace Kelly.
  • 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: Sandrine
Triple: [Sandrine Holt, givenName, Sandrine]
Generated description
Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sandrine
Target entity description: Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
  • A. Léa
    Léa is a French feminine given name commonly used in Francophone countries.
  • B. Sandrine Peyrard
    Sandrine Peyrard is a professional editor known for her work in refining and overseeing written content.
  • C. Nathalie
    Nathalie is a feminine given name of French origin commonly used in many European and French-speaking countries.
  • D. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • E. Stéphanie
    Stéphanie is a Monegasque princess, singer, and fashion designer, best known as the youngest child of Prince Rainier III and Grace Kelly.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06504b48190b3f1defdc23a47d5 completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a55edeb88190bec1cc4ab9771c08 completed May 16, 2026, 5:11 p.m.
NEDg Description generation batch_6a08a931eca081908bf3e16447869ff7 completed May 16, 2026, 5:28 p.m.
NED2 Entity disambiguation (via description) batch_6a08a9aa39308190b9168c396759e7e4 completed May 16, 2026, 5:30 p.m.
Created at: April 16, 2026, 11:37 a.m.