Triple

T11747852
Position Surface form Disambiguated ID Type / Status
Subject Maura E279329 entity
Predicate hasRelatedName P3889 FINISHED
Object Mauraine
Mauraine is a given name, likely a variant or elaboration of the name Maura.
E944762 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: Mauraine | Statement: [Maura, hasRelatedName, Mauraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauraine
Context triple: [Maura, hasRelatedName, Mauraine]
  • A. Marcané
    Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
  • B. Frederuna
    Frederuna was a 10th-century Frankish queen consort of West Francia as the first wife of King Charles the Simple.
  • C. Gerhardine
    Gerhardine is the given name of Gerdy Troost, a German architect and interior designer known for her close professional association with the Nazi regime.
  • D. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • E. Ysabell
    Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
  • 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: Mauraine
Triple: [Maura, hasRelatedName, Mauraine]
Generated description
Mauraine is a given name, likely a variant or elaboration of the name Maura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mauraine
Target entity description: Mauraine is a given name, likely a variant or elaboration of the name Maura.
  • A. Marcané
    Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
  • B. Frederuna
    Frederuna was a 10th-century Frankish queen consort of West Francia as the first wife of King Charles the Simple.
  • C. Gerhardine
    Gerhardine is the given name of Gerdy Troost, a German architect and interior designer known for her close professional association with the Nazi regime.
  • D. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • E. Ysabell
    Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a0492b48190b6f2e3cf36b4f537 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319520dc8190817c5e75ddb7d40b completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05ad36e4c8190b7239e5b33713369 completed April 28, 2026, 6:59 a.m.
Created at: April 8, 2026, 9:41 p.m.