Triple

T13837021
Position Surface form Disambiguated ID Type / Status
Subject Doroteja E332555 entity
Predicate relatedName P3889 FINISHED
Object Dorota
Dorota is a feminine given name used in various Slavic and European cultures, often considered a variant of Dorothy.
 E1065628 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: Dorota | Statement: [Doroteja, relatedName, Dorota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dorota
Context triple: [Doroteja, relatedName, Dorota]
  • A. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • B. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • C. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • D. Martyna
    Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
  • E. Urszula
    Urszula is a feminine given name, primarily used in Poland, that is a variant of the name Ursula.
  • 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: Dorota
Triple: [Doroteja, relatedName, Dorota]
Generated description
Dorota is a feminine given name used in various Slavic and European cultures, often considered a variant of Dorothy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dorota
Target entity description: Dorota is a feminine given name used in various Slavic and European cultures, often considered a variant of Dorothy.
  • A. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • B. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • C. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • D. Martyna
    Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
  • E. Urszula
    Urszula is a feminine given name, primarily used in Poland, that is a variant of the name Ursula.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ed7e8c81909ffed37f5b097188 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c23410dc8190972245cecfa85871 completed May 3, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3031a0c8190ad30d59fe1f2322e completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:13 p.m.