Triple

T1184422
Position Surface form Disambiguated ID Type / Status
Subject Marián Gáborík E25212 entity
Predicate givenName P17 FINISHED
Object Marián
Marián is a masculine given name commonly used in Slovakia and other Central European countries.
 E100703 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: Marián | Statement: [Marián Gáborík, givenName, Marián]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marián
Context triple: [Marián Gáborík, givenName, Marián]
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • C. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • D. 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.
  • E. Marián Šťastný
    Marián Šťastný is a former Slovak ice hockey forward best known as one of the Šťastný brothers, who starred internationally for Czechoslovakia before later playing in the NHL.
  • 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: Marián
Triple: [Marián Gáborík, givenName, Marián]
Generated description
Marián is a masculine given name commonly used in Slovakia and other Central European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marián
Target entity description: Marián is a masculine given name commonly used in Slovakia and other Central European countries.
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • C. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • D. 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.
  • E. Marián Šťastný chosen
    Marián Šťastný is a former Slovak ice hockey forward best known as one of the Šťastný brothers, who starred internationally for Czechoslovakia before later playing in the NHL.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd37b4a88190bb71a2d272c5fd1a completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93b6343c8190af6e28ccdaab6562 completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac9453f4488190a13ebabf3c8e07a5 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac952f74d48190b075919e0acd513d completed March 7, 2026, 9:14 p.m.
Created at: March 1, 2026, 7:45 p.m.