Triple

T3372612
Position Surface form Disambiguated ID Type / Status
Subject Matthew E70988 entity
Predicate hasCognate P2525 FINISHED
Object Matúš
Matúš is the Slovak form of the given name Matthew, commonly used in Slovakia and other Slovak-speaking communities.
E354158 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: Matúš | Statement: [Matthew, hasCognate, Matúš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matúš
Context triple: [Matthew, hasCognate, Matúš]
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • C. Jakub
    Jakub is a given name, common in Slavic countries, that is a cognate of the Latin name Iacomus (James).
  • D. Róbert
    Róbert is a given name commonly used in various European countries, particularly in Hungary and Iceland, as a localized form of the name Robert.
  • E. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • 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: Matúš
Triple: [Matthew, hasCognate, Matúš]
Generated description
Matúš is the Slovak form of the given name Matthew, commonly used in Slovakia and other Slovak-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matúš
Target entity description: Matúš is the Slovak form of the given name Matthew, commonly used in Slovakia and other Slovak-speaking communities.
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • C. Jakub
    Jakub is a given name, common in Slavic countries, that is a cognate of the Latin name Iacomus (James).
  • D. Róbert
    Róbert is a given name commonly used in various European countries, particularly in Hungary and Iceland, as a localized form of the name Robert.
  • E. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • 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_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_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334e5171c8190a01bb6fef5644825 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3390c50b08190b6239b5f0d1eb4ba completed March 12, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:13 p.m.