Triple

T10183684
Position Surface form Disambiguated ID Type / Status
Subject Ondrej E236853 entity
Predicate relatedName P3889 FINISHED
Object Andrejko
Andrejko is a given name and diminutive form commonly used in Slavic countries, particularly as a variant of the name Andrej or Ondrej.
 E126090 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: Andrejko | Statement: [Ondrej, relatedName, Andrejko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrejko
Context triple: [Ondrej, relatedName, Andrejko]
  • A. Andrej
    Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • B. Jarek
    Jarek is a masculine given name, commonly used in Slavic countries, often as a diminutive or variant of names like Jarosław.
  • C. Andrzejewski
    Andrzejewski is the birth surname of American rock singer Pat Benatar, known for her powerful vocals and 1980s hits.
  • D. Ondrej
    Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
  • E. Radomir
    Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
  • 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: Andrejko
Triple: [Ondrej, relatedName, Andrejko]
Generated description
Andrejko is a given name and diminutive form commonly used in Slavic countries, particularly as a variant of the name Andrej or Ondrej.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrejko
Target entity description: Andrejko is a given name and diminutive form commonly used in Slavic countries, particularly as a variant of the name Andrej or Ondrej.
  • A. Andrej chosen
    Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • B. Jarek
    Jarek is a masculine given name, commonly used in Slavic countries, often as a diminutive or variant of names like Jarosław.
  • C. Andrzejewski
    Andrzejewski is the birth surname of American rock singer Pat Benatar, known for her powerful vocals and 1980s hits.
  • D. Ondrej
    Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
  • E. Radomir
    Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
  • F. None of above.

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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded3408b88190a7d981a6dcea48d9 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ad838b08190ab8c50a4108bba68 completed April 6, 2026, 3:39 a.m.
NEDg Description generation batch_69d32c50f34881909e33acb0e4d9342e completed April 6, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69d32cc129ec81909ca30c9475547a62 completed April 6, 2026, 3:47 a.m.
Created at: March 30, 2026, 9:12 p.m.