Triple

T10408658
Position Surface form Disambiguated ID Type / Status
Subject Leona E245330 entity
Predicate hasVariant P455 FINISHED
Object Leonie
Leonie is a feminine given name of European origin, commonly used in German- and French-speaking countries and derived from the Latin word for "lion."
 E861939 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: Leonie | Statement: [Leona, hasVariant, Leonie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leonie
Context triple: [Leona, hasVariant, Leonie]
  • A. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • B. Joanna
    Joanna is a feminine given name used in various cultures, often associated with forms of the name John and shared by many notable historical and contemporary figures.
  • C. Joanna
    Joanna is a woman mentioned in the New Testament as one of Jesus’ followers who witnessed his resurrection.
  • D. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • E. Joanna
    Joanna, also known as Joan, Lady of Wales, was the illegitimate daughter of King John of England and the wife of Llywelyn the Great, Prince of Gwynedd.
  • 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: Leonie
Triple: [Leona, hasVariant, Leonie]
Generated description
Leonie is a feminine given name of European origin, commonly used in German- and French-speaking countries and derived from the Latin word for "lion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leonie
Target entity description: Leonie is a feminine given name of European origin, commonly used in German- and French-speaking countries and derived from the Latin word for "lion."
  • A. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • B. Joanna
    Joanna is a feminine given name used in various cultures, often associated with forms of the name John and shared by many notable historical and contemporary figures.
  • C. Joanna
    Joanna is a woman mentioned in the New Testament as one of Jesus’ followers who witnessed his resurrection.
  • D. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • E. Joanna
    Joanna, also known as Joan, Lady of Wales, was the illegitimate daughter of King John of England and the wife of Llywelyn the Great, Prince of Gwynedd.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9faa97c819092cadedadabe26bf completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbf1c428819099ca359309c4c836 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d597088190bf3dca85e1ddb890 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859cc1aac8190ab232bb4e4e4fac1 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 12:09 p.m.