Triple

T1175363
Position Surface form Disambiguated ID Type / Status
Subject Pavol Demitra E25012 entity
Predicate givenName P17 FINISHED
Object Pavol
Pavol is a masculine given name commonly used in Slovak and other Slavic cultures, equivalent to the English name Paul.
E43273 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: Pavol | Statement: [Pavol Demitra, givenName, Pavol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavol
Context triple: [Pavol Demitra, givenName, Pavol]
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Pavel
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • C. Róbert
    Róbert is a given name commonly used in various European countries, particularly in Hungary and Iceland, as a localized form of the name Robert.
  • D. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • E. 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.
  • 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: Pavol
Triple: [Pavol Demitra, givenName, Pavol]
Generated description
Pavol is a masculine given name commonly used in Slovak and other Slavic cultures, equivalent to the English name Paul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pavol
Target entity description: Pavol is a masculine given name commonly used in Slovak and other Slavic cultures, equivalent to the English name Paul.
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Pavel chosen
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • C. Róbert
    Róbert is a given name commonly used in various European countries, particularly in Hungary and Iceland, as a localized form of the name Robert.
  • D. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • E. 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.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd0bed00819091d71983d787a030 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f6d4e788190b993dc2bdd69ed26 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac8fe33f2c8190bd2ea9dfa9744a3a completed March 7, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac90412d3881909278a9a6c6536ce3 completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:45 p.m.