Triple

T14285317
Position Surface form Disambiguated ID Type / Status
Subject Matija E354155 entity
Predicate hasVariant P455 FINISHED
Object Matijaš
Matijaš is a South Slavic given name, likely a diminutive or regional variant of the name Matija (Matthew).
 E354155 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: Matijaš | Statement: [Matija, hasVariant, Matijaš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matijaš
Context triple: [Matija, hasVariant, Matijaš]
  • A. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • 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. Mladen
    Mladen is the original given name of American actor Karl Malden, known for his Academy Award–winning role in "A Streetcar Named Desire" and his work in film and television.
  • D. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • E. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • 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: Matijaš
Triple: [Matija, hasVariant, Matijaš]
Generated description
Matijaš is a South Slavic given name, likely a diminutive or regional variant of the name Matija (Matthew).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matijaš
Target entity description: Matijaš is a South Slavic given name, likely a diminutive or regional variant of the name Matija (Matthew).
  • A. Matija chosen
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • 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. Mladen
    Mladen is the original given name of American actor Karl Malden, known for his Academy Award–winning role in "A Streetcar Named Desire" and his work in film and television.
  • D. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • E. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • F. None of above.

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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467f3b3081908261261301674c4e completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd4758c4c88190a01d1482585cee8d completed May 8, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd47ae4ae88190a25e793b2cbe8d80 completed May 8, 2026, 2:17 a.m.
Created at: April 10, 2026, 1:10 a.m.