Triple

T8689768
Position Surface form Disambiguated ID Type / Status
Subject Zbigniew E206255 entity
Predicate isRelatedName P3889 FINISHED
Object Zbyhněv
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
 E816705 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: Zbyhněv | Statement: [Zbigniew, isRelatedName, Zbyhněv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zbyhněv
Context triple: [Zbigniew, isRelatedName, Zbyhněv]
  • A. Ruzyně
    Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
  • B. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • C. Brněnec
    Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
  • D. Zličín
    Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
  • E. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • 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: Zbyhněv
Triple: [Zbigniew, isRelatedName, Zbyhněv]
Generated description
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zbyhněv
Target entity description: Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
  • A. Ruzyně
    Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
  • B. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • C. Brněnec
    Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
  • D. Zličín
    Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
  • E. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5734602c81909a0687e00f4a4a26 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f4a2bd881909745f349d847ca87 completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a0f4d5a88190af41d44006534bdc completed April 4, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1a158413c819099af153e0c1c5756 completed April 4, 2026, 11:40 p.m.
Created at: March 30, 2026, 6:33 p.m.