Triple

T9582960
Position Surface form Disambiguated ID Type / Status
Subject Tomasz E231217 entity
Predicate equivalentTo P6530 FINISHED
Object Tomášek
Tomášek is a diminutive form of the given name Tomáš, commonly used in Czech and Slovak contexts.
 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: Tomášek | Statement: [Tomasz, equivalentTo, Tomášek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomášek
Context triple: [Tomasz, equivalentTo, Tomášek]
  • A. Tomáš
    Tomáš is a masculine given name commonly used in Czech and Slovak cultures, equivalent to Thomas in English.
  • B. Roman Čechmánek
    Roman Čechmánek was a Czech professional ice hockey goaltender who starred in international play for the Czech national team and later played in the NHL, most notably for the Philadelphia Flyers.
  • C. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • D. Tomáš Vlasák
    Tomáš Vlasák is a Czech former professional ice hockey forward known for his successful career in European leagues and appearances with the Czech national team.
  • E. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • 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: Tomášek
Triple: [Tomasz, equivalentTo, Tomášek]
Generated description
Tomášek is a diminutive form of the given name Tomáš, commonly used in Czech and Slovak contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomášek
Target entity description: Tomášek is a diminutive form of the given name Tomáš, commonly used in Czech and Slovak contexts.
  • A. Tomáš chosen
    Tomáš is a masculine given name commonly used in Czech and Slovak cultures, equivalent to Thomas in English.
  • B. Roman Čechmánek
    Roman Čechmánek was a Czech professional ice hockey goaltender who starred in international play for the Czech national team and later played in the NHL, most notably for the Philadelphia Flyers.
  • C. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • D. Tomáš Vlasák
    Tomáš Vlasák is a Czech former professional ice hockey forward known for his successful career in European leagues and appearances with the Czech national team.
  • E. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cebaf081908033536a53fbf668 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17917063c819084521bf2e61aee6b completed April 4, 2026, 8:48 p.m.
NEDg Description generation batch_69d17c497ab481908a3bef7a784650e0 completed April 4, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_69d17c97093c819093d215373fe6fbeb completed April 4, 2026, 9:03 p.m.
Created at: March 30, 2026, 8:05 p.m.