Triple

T10892648
Position Surface form Disambiguated ID Type / Status
Subject Gwenhwyfar E257218 entity
Predicate hasVariant P455 FINISHED
Object Genevieve
Genevieve is a feminine given name, often associated with French and Celtic origins and linked to legendary and saintly figures in European tradition.
 E892792 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: Genevieve | Statement: [Gwenhwyfar, hasVariant, Genevieve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Genevieve
Context triple: [Gwenhwyfar, hasVariant, Genevieve]
  • A. Gwendolyn
    Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
  • B. Georgette
    Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
  • C. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • D. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • E. Geraldine
    Geraldine is a small rural service town in the South Island of New Zealand, known for its scenic surroundings and role as a gateway to the Canterbury high country.
  • 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: Genevieve
Triple: [Gwenhwyfar, hasVariant, Genevieve]
Generated description
Genevieve is a feminine given name, often associated with French and Celtic origins and linked to legendary and saintly figures in European tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Genevieve
Target entity description: Genevieve is a feminine given name, often associated with French and Celtic origins and linked to legendary and saintly figures in European tradition.
  • A. Gwendolyn
    Gwendolyn is a feminine given name most famously borne by the Pulitzer Prize–winning American poet Gwendolyn Brooks.
  • B. Georgette
    Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
  • C. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • D. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • E. Geraldine
    Geraldine is a small rural service town in the South Island of New Zealand, known for its scenic surroundings and role as a gateway to the Canterbury high country.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1550d6b4081909483c5dfa6e85671 completed April 16, 2026, 9:30 p.m.
NEDg Description generation batch_69e17d3331788190a9ee03fc4c6ca191 completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1ff5b3d488190a545bee24381d01e completed April 17, 2026, 9:37 a.m.
Created at: April 8, 2026, 9:21 p.m.