Triple

T520940
Position Surface form Disambiguated ID Type / Status
Subject Dorothea E10813 entity
Predicate hasVariant P455 FINISHED
Object Dorotea
Dorotea is a feminine given name, commonly used in various European languages as a form of Dorothea, meaning "gift of God."
E65686 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: Dorotea | Statement: [Dorothea, hasVariant, Dorotea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorotea
Context triple: [Dorothea, hasVariant, Dorotea]
  • A. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • B. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • C. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • D. Minervina
    Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
  • E. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • 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: Dorotea
Triple: [Dorothea, hasVariant, Dorotea]
Generated description
Dorotea is a feminine given name, commonly used in various European languages as a form of Dorothea, meaning "gift of God."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dorotea
Target entity description: Dorotea is a feminine given name, commonly used in various European languages as a form of Dorothea, meaning "gift of God."
  • A. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • B. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • C. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • D. Minervina
    Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
  • E. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a1817c8190a6cc8f423071d3ad completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23dca0c8190b240bb7c9fb8b799 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b30e28b08190994811d66a091d6b completed March 1, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69a4b384035c8190b7408b2232626d19 completed March 1, 2026, 9:45 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.