Triple

T6311632
Position Surface form Disambiguated ID Type / Status
Subject Vlatko Andonovski E141516 entity
Predicate givenName P17 FINISHED
Object Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
E588863 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: Vlatko | Statement: [Vlatko Andonovski, givenName, Vlatko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlatko
Context triple: [Vlatko Andonovski, givenName, Vlatko]
  • A. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • B. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • C. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • D. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • E. Vladimir Ružić
    Vladimir Ružić is a person bearing the Croatian surname Ružić, likely of Croatian or broader South Slavic origin.
  • 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: Vlatko
Triple: [Vlatko Andonovski, givenName, Vlatko]
Generated description
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vlatko
Target entity description: Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • A. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • B. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • C. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • D. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • E. Vladimir Ružić
    Vladimir Ružić is a person bearing the Croatian surname Ružić, likely of Croatian or broader South Slavic origin.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0649d1e048190a3fc7fbce9d2ee57 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d2cd75c81908961633a7ccf5dc9 completed March 27, 2026, 7:09 a.m.
NEDg Description generation batch_69c630a27c7081908be22c89549bb8bf completed March 27, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_69c63115d7a48190ab586d34b44a2128 completed March 27, 2026, 7:26 a.m.
Created at: March 22, 2026, 4:28 p.m.