Triple

T683614
Position Surface form Disambiguated ID Type / Status
Subject Miroslav Šatan E13234 entity
Predicate givenName P17 FINISHED
Object Miroslav
Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
 E95945 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: Miroslav | Statement: [Miroslav Šatan, givenName, Miroslav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miroslav
Context triple: [Miroslav Šatan, givenName, Miroslav]
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • 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. Milan Trenc
    Milan Trenc is a Croatian illustrator, animator, and filmmaker best known for creating the children's book that inspired the "Night at the Museum" film series.
  • 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: Miroslav
Triple: [Miroslav Šatan, givenName, Miroslav]
Generated description
Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miroslav
Target entity description: Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • 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. Milan Trenc
    Milan Trenc is a Croatian illustrator, animator, and filmmaker best known for creating the children's book that inspired the "Night at the Museum" film series.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a070d4c08190a510a8f9c1ae8076 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6ed1f881909fea81ce4308075b completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a771ec72a88190a62539ca5ed3a94d completed March 3, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69a7723dcf488190968a64f68fce9c63 completed March 3, 2026, 11:43 p.m.
Created at: March 1, 2026, 7:36 p.m.