Triple

T6960507
Position Surface form Disambiguated ID Type / Status
Subject Léa Seydoux E161355 entity
Predicate givenName P17 FINISHED
Object Léa
Léa is a French feminine given name commonly used in Francophone countries.
 E641135 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: Léa | Statement: [Léa Seydoux, givenName, Léa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Léa
Context triple: [Léa Seydoux, givenName, Léa]
  • A. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • B. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • C. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • D. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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: Léa
Triple: [Léa Seydoux, givenName, Léa]
Generated description
Léa is a French feminine given name commonly used in Francophone countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Léa
Target entity description: Léa is a French feminine given name commonly used in Francophone countries.
  • A. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • B. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • C. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • D. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daeee4d48190b078beeebb0053f4 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7942eeb288190acad3bf999a6ea2e completed March 28, 2026, 8:41 a.m.
NEDg Description generation batch_69c796720c388190b360d691aef39761 completed March 28, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69c797288eb48190b994452884b05109 completed March 28, 2026, 8:54 a.m.
Created at: March 27, 2026, 2:29 p.m.