Triple

T19965764
Position Surface form Disambiguated ID Type / Status
Subject Zlatko Mateša E479928 entity
Predicate givenName P17 FINISHED
Object Zlatko
Zlatko is a masculine given name commonly used in Slavic countries, particularly in Croatia and other South Slavic regions.
 E1405211 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: Zlatko | Statement: [Zlatko Mateša, givenName, Zlatko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zlatko
Context triple: [Zlatko Mateša, givenName, Zlatko]
  • A. Željko
    Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
  • B. Zlatko Grgić
    Zlatko Grgić was a Croatian animator and film director best known for his influential work in animated films produced by the Zagreb Film studio.
  • C. Zlatko Mateša
    Zlatko Mateša is a Croatian politician who served as the country's Prime Minister in the mid-1990s.
  • D. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • E. 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.
  • 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: Zlatko
Triple: [Zlatko Mateša, givenName, Zlatko]
Generated description
Zlatko is a masculine given name commonly used in Slavic countries, particularly in Croatia and other South Slavic regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zlatko
Target entity description: Zlatko is a masculine given name commonly used in Slavic countries, particularly in Croatia and other South Slavic regions.
  • A. Željko
    Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
  • B. Zlatko Grgić
    Zlatko Grgić was a Croatian animator and film director best known for his influential work in animated films produced by the Zagreb Film studio.
  • C. Zlatko Mateša
    Zlatko Mateša is a Croatian politician who served as the country's Prime Minister in the mid-1990s.
  • D. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • E. 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.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc4f47c8190a721f5e488150d81 completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804f72b288190ae03a856d3581508 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0805ff590c8190afe9f275675cbb27 completed May 16, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0806ab6cdc8190bd11822e0f5426cc completed May 16, 2026, 5:54 a.m.
Created at: April 10, 2026, 1:54 p.m.