Triple

T7041269
Position Surface form Disambiguated ID Type / Status
Subject Kovács E163516 entity
Predicate hasCognateSurname P51524 FINISHED
Object Koval
Koval is a surname of Slavic origin, commonly associated with occupations like blacksmithing and related to similar names such as Kovács.
E640844 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: Koval | Statement: [Kovács, hasCognateSurname, Koval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koval
Context triple: [Kovács, hasCognateSurname, Koval]
  • A. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • B. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • C. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • D. Kovalchuk
    Kovalchuk is a common East Slavic surname, notably borne by several professional ice hockey players and other public figures from Russia, Ukraine, and Belarus.
  • E. Kornienko
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • 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: Koval
Triple: [Kovács, hasCognateSurname, Koval]
Generated description
Koval is a surname of Slavic origin, commonly associated with occupations like blacksmithing and related to similar names such as Kovács.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koval
Target entity description: Koval is a surname of Slavic origin, commonly associated with occupations like blacksmithing and related to similar names such as Kovács.
  • A. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • B. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • C. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • D. Kovalchuk
    Kovalchuk is a common East Slavic surname, notably borne by several professional ice hockey players and other public figures from Russia, Ukraine, and Belarus.
  • E. Kornienko
    Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e77415e88190ab65137382f1b155 completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7943fe4fc819087bbcc724deed80a completed March 28, 2026, 8:41 a.m.
NEDg Description generation batch_69c7967dd32081908ad7cca8bd4ec7e4 completed March 28, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_69c797666b688190918d9b158de09af8 completed March 28, 2026, 8:55 a.m.
Created at: March 27, 2026, 2:36 p.m.