Triple

T10408660
Position Surface form Disambiguated ID Type / Status
Subject Leona E245330 entity
Predicate hasVariant P455 FINISHED
Object Leontine
Leontine is a feminine given name, used as a variant of names like Leona and Leontina, with roots in Latin meaning "lion-like" or "lioness."
 E861940 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: Leontine | Statement: [Leona, hasVariant, Leontine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leontine
Context triple: [Leona, hasVariant, Leontine]
  • A. Alcione
    Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
  • B. Leontia
    Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
  • C. Amphithea
    Amphithea is a figure in Greek mythology known primarily as the mother of Anticlea, who in turn is the mother of Odysseus.
  • D. Theosebia
    Theosebia is a relatively obscure early Christian figure known primarily as a member of the family of Basil the Elder, associated with the influential Cappadocian Christian milieu.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • 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: Leontine
Triple: [Leona, hasVariant, Leontine]
Generated description
Leontine is a feminine given name, used as a variant of names like Leona and Leontina, with roots in Latin meaning "lion-like" or "lioness."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leontine
Target entity description: Leontine is a feminine given name, used as a variant of names like Leona and Leontina, with roots in Latin meaning "lion-like" or "lioness."
  • A. Alcione
    Alcione is the nickname of the Italian World War II-era Cant Z.1007 medium bomber aircraft.
  • B. Leontia
    Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
  • C. Amphithea
    Amphithea is a figure in Greek mythology known primarily as the mother of Anticlea, who in turn is the mother of Odysseus.
  • D. Theosebia
    Theosebia is a relatively obscure early Christian figure known primarily as a member of the family of Basil the Elder, associated with the influential Cappadocian Christian milieu.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • 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.