Triple

T8894738
Position Surface form Disambiguated ID Type / Status
Subject Markovitch E211777 entity
Predicate variantOf P4680 FINISHED
Object Marković
Marković is a South Slavic surname, common in countries like Serbia and Croatia, typically derived from the given name Marko.
E765117 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: Marković | Statement: [Markovitch, variantOf, Marković]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marković
Context triple: [Markovitch, variantOf, Marković]
  • A. Medaković
    Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
  • B. Milinković-Savić
    Milinković-Savić is the surname of Serbian professional footballer Sergej Milinković-Savić, a prominent midfielder known for his physical presence, technique, and goal-scoring ability.
  • C. Rajaković
    Rajaković is a Serbian surname most notably associated with NBA coach Darko Rajaković.
  • D. Mitrović
    Mitrović is a common Serbian surname most prominently associated with professional footballer Aleksandar Mitrović.
  • E. Marko Milošević
    Marko Milošević is the son of former Serbian and Yugoslav president Slobodan Milošević, known for his controversial business dealings and influence during his father's rule.
  • 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: Marković
Triple: [Markovitch, variantOf, Marković]
Generated description
Marković is a South Slavic surname, common in countries like Serbia and Croatia, typically derived from the given name Marko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marković
Target entity description: Marković is a South Slavic surname, common in countries like Serbia and Croatia, typically derived from the given name Marko.
  • A. Medaković
    Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
  • B. Milinković-Savić
    Milinković-Savić is the surname of Serbian professional footballer Sergej Milinković-Savić, a prominent midfielder known for his physical presence, technique, and goal-scoring ability.
  • C. Rajaković
    Rajaković is a Serbian surname most notably associated with NBA coach Darko Rajaković.
  • D. Mitrović
    Mitrović is a common Serbian surname most prominently associated with professional footballer Aleksandar Mitrović.
  • E. Marko Milošević
    Marko Milošević is the son of former Serbian and Yugoslav president Slobodan Milošević, known for his controversial business dealings and influence during his father's rule.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61be2c2081908f39cccdc149872d completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac02974881908a7e8d9cfa47e624 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfad512ad081908e046e9d95097071 completed April 3, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69cfadf4c1fc81908df957dc0a6308dc completed April 3, 2026, 12:09 p.m.
Created at: March 30, 2026, 6:54 p.m.