Triple

T16683343
Position Surface form Disambiguated ID Type / Status
Subject Dragoljub Ojdanić E405394 entity
Predicate familyName P18 FINISHED
Object Ojdanić
Ojdanić is a Serbian surname most notably associated with Dragoljub Ojdanić, a former Yugoslav Army general and political figure.
 E1240721 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: Ojdanić | Statement: [Dragoljub Ojdanić, familyName, Ojdanić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ojdanić
Context triple: [Dragoljub Ojdanić, familyName, Ojdanić]
  • A. Medaković
    Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
  • B. Kostelić
    Kostelić is a Croatian surname most famously associated with the champion alpine skiing family that includes Olympic gold medalist Janica Kostelić.
  • C. Ninković
    Ninković is a Serbian surname most notably borne by professional footballer Miloš Ninković.
  • D. Dražan
    Dražan is a masculine given name most notably borne by Croatian footballer and manager Dražan Jerković.
  • 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: Ojdanić
Triple: [Dragoljub Ojdanić, familyName, Ojdanić]
Generated description
Ojdanić is a Serbian surname most notably associated with Dragoljub Ojdanić, a former Yugoslav Army general and political figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ojdanić
Target entity description: Ojdanić is a Serbian surname most notably associated with Dragoljub Ojdanić, a former Yugoslav Army general and political figure.
  • A. Medaković
    Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
  • B. Kostelić
    Kostelić is a Croatian surname most famously associated with the champion alpine skiing family that includes Olympic gold medalist Janica Kostelić.
  • C. Ninković
    Ninković is a Serbian surname most notably borne by professional footballer Miloš Ninković.
  • D. Dražan
    Dražan is a masculine given name most notably borne by Croatian footballer and manager Dražan Jerković.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d70d3f8819087d1bd700c94a83f completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfbe853c8190941d9a20173100fc completed May 10, 2026, 6:34 p.m.
NEDg Description generation batch_6a00d08aa3fc8190aa32e2dac41992c3 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d12511c88190ab0d5925cf930c66 completed May 10, 2026, 6:40 p.m.
Created at: April 10, 2026, 5:19 a.m.