Triple

T3372614
Position Surface form Disambiguated ID Type / Status
Subject Matthew E70988 entity
Predicate hasCognate P2525 FINISHED
Object Matijaš
Matijaš is a South Slavic given name, particularly used in Croatian and related languages, that corresponds to the English name 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: [Matthew, hasCognate, Matijaš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matijaš
Context triple: [Matthew, hasCognate, Matijaš]
  • A. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • B. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • C. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • D. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • E. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • 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: [Matthew, hasCognate, Matijaš]
Generated description
Matijaš is a South Slavic given name, particularly used in Croatian and related languages, that corresponds to the English name 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, particularly used in Croatian and related languages, that corresponds to the English name Matthew.
  • A. Matija chosen
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • B. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • C. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • D. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • E. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bdcf70819087fc7e00fbd61e0d completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bbfaf3081908babba216c7da776 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34e45a6c08190a0011eaa60f3d50a completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34eba517881908806b1ac285448ff completed March 12, 2026, 11:39 p.m.
Created at: March 8, 2026, 3:13 p.m.