Triple

T6376567
Position Surface form Disambiguated ID Type / Status
Subject Tomas E143480 entity
Predicate hasVariant P455 FINISHED
Object Tomáš
Tomáš is a masculine given name commonly used in Czech and Slovak cultures, equivalent to Thomas in English.
 E588700 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: Tomáš | Statement: [Tomas, hasVariant, Tomáš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomáš
Context triple: [Tomas, hasVariant, Tomáš]
  • A. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • B. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • C. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • D. Štěpán
    Štěpán is the Czech given name corresponding to the Hungarian name István, itself equivalent to Stephen in English.
  • E. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • 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: Tomáš
Triple: [Tomas, hasVariant, Tomáš]
Generated description
Tomáš is a masculine given name commonly used in Czech and Slovak cultures, equivalent to Thomas in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomáš
Target entity description: Tomáš is a masculine given name commonly used in Czech and Slovak cultures, equivalent to Thomas in English.
  • A. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • B. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • C. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • D. Štěpán
    Štěpán is the Czech given name corresponding to the Hungarian name István, itself equivalent to Stephen in English.
  • E. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683bfc7081908b15c3c9a3c72e7b completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d9dd9dc8190b2aca25feda3e690 completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62fb982088190ab4ccbd5ff23740d completed March 27, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_69c6302e2f008190bd7ccdfbcddb3c07 completed March 27, 2026, 7:22 a.m.
Created at: March 22, 2026, 4:33 p.m.