Triple

T10307670
Position Surface form Disambiguated ID Type / Status
Subject Duško Tadić E241806 entity
Predicate givenName P17 FINISHED
Object Duško
Duško is the given name of Duško Tadić, a Bosnian Serb who became known as the first person tried by the International Criminal Tribunal for the former Yugoslavia for war crimes committed during the Bosnian War.
 E854417 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: Duško | Statement: [Duško Tadić, givenName, Duško]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duško
Context triple: [Duško Tadić, givenName, Duško]
  • A. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • B. Danijel
    Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
  • C. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Željko
    Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
  • 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: Duško
Triple: [Duško Tadić, givenName, Duško]
Generated description
Duško is the given name of Duško Tadić, a Bosnian Serb who became known as the first person tried by the International Criminal Tribunal for the former Yugoslavia for war crimes committed during the Bosnian War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duško
Target entity description: Duško is the given name of Duško Tadić, a Bosnian Serb who became known as the first person tried by the International Criminal Tribunal for the former Yugoslavia for war crimes committed during the Bosnian War.
  • A. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • B. Danijel
    Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
  • C. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Željko
    Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d328272c8190a3548d7f7f38cfc4 completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d6867488190bc41eeec7666af38 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:46 a.m.