Triple

T10183690
Position Surface form Disambiguated ID Type / Status
Subject Ondrej E236853 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Ondrík
Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
 E848468 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: Ondrík | Statement: [Ondrej, hasDiminutiveForm, Ondrík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ondrík
Context triple: [Ondrej, hasDiminutiveForm, Ondrík]
  • A. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • B. Eliáš
    Eliáš is a Czech surname most notably borne by former NHL star Patrik Eliáš.
  • C. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • D. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • E. Štěpán
    Štěpán is the Czech given name corresponding to the Hungarian name István, itself equivalent to Stephen in English.
  • 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: Ondrík
Triple: [Ondrej, hasDiminutiveForm, Ondrík]
Generated description
Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ondrík
Target entity description: Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
  • A. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • B. Eliáš
    Eliáš is a Czech surname most notably borne by former NHL star Patrik Eliáš.
  • C. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • D. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • E. Štěpán
    Štěpán is the Czech given name corresponding to the Hungarian name István, itself equivalent to Stephen in English.
  • 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_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_69d369b043608190a740621a2eeb49ed completed April 6, 2026, 8:07 a.m.
NEDg Description generation batch_69d36a995d908190af21fe1dd25a407f completed April 6, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69d36ae8c9a881909e553072217790f6 completed April 6, 2026, 8:12 a.m.
Created at: March 30, 2026, 9:12 p.m.