Triple

T3142676
Position Surface form Disambiguated ID Type / Status
Subject Dorotea E65686 entity
Predicate relatedName P3889 FINISHED
Object Doroteja
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
E332555 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: Doroteja | Statement: [Dorotea, relatedName, Doroteja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doroteja
Context triple: [Dorotea, relatedName, Doroteja]
  • A. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • B. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • C. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • D. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • E. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • 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: Doroteja
Triple: [Dorotea, relatedName, Doroteja]
Generated description
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doroteja
Target entity description: Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • A. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • B. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • C. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • D. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • E. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada579b07c8190a7b316f499911a2d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e9029c8190bd88dbb18b5f71a8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b225c419cc8190ac157b5996132d3f completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b2264e67748190920fbd2db5355de4 completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.