Triple

T4304641
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Beran E99924 entity
Predicate familyName P18 FINISHED
Object Beran
Beran is a Czech surname most notably borne by Rudolf Beran, a prominent Czechoslovak politician and prime minister before and during the early years of World War II.
 E428766 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: Beran | Statement: [Rudolf Beran, familyName, Beran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beran
Context triple: [Rudolf Beran, familyName, Beran]
  • A. Bednja
    Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
  • B. Bankura
    Bankura is a town in eastern India known as the administrative headquarters of Bankura district and for its terracotta temples and traditional crafts.
  • C. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • D. Beroun
    Beroun is a historic town in the Czech Republic known for its medieval architecture, scenic location at the confluence of the Berounka and Litavka rivers, and proximity to the Bohemian Karst nature reserve.
  • E. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • 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: Beran
Triple: [Rudolf Beran, familyName, Beran]
Generated description
Beran is a Czech surname most notably borne by Rudolf Beran, a prominent Czechoslovak politician and prime minister before and during the early years of World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beran
Target entity description: Beran is a Czech surname most notably borne by Rudolf Beran, a prominent Czechoslovak politician and prime minister before and during the early years of World War II.
  • A. Bednja
    Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
  • B. Bankura
    Bankura is a town in eastern India known as the administrative headquarters of Bankura district and for its terracotta temples and traditional crafts.
  • C. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • D. Beroun
    Beroun is a historic town in the Czech Republic known for its medieval architecture, scenic location at the confluence of the Berounka and Litavka rivers, and proximity to the Bohemian Karst nature reserve.
  • E. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b8e1cc819094ce3d6f6c8da767 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75382848190a4f2141a72e3fb3a completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7dcd4948190b996d215bcdd223d completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c863be608190985357d9bd13eb2d completed March 14, 2026, 8:43 p.m.
Created at: March 12, 2026, 11:09 p.m.