Triple

T1435093
Position Surface form Disambiguated ID Type / Status
Subject Smith E30542 entity
Predicate hasVariant P455 FINISHED
Object Kovács
Kovács is a common Hungarian surname equivalent to the English surname Smith, traditionally associated with the occupation of a blacksmith.
 E163516 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: Kovács | Statement: [Smith, hasVariant, Kovács]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kovács
Context triple: [Smith, hasVariant, Kovács]
  • A. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • D. János Gálicz
    János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
  • E. 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.
  • 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: Kovács
Triple: [Smith, hasVariant, Kovács]
Generated description
Kovács is a common Hungarian surname equivalent to the English surname Smith, traditionally associated with the occupation of a blacksmith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kovács
Target entity description: Kovács is a common Hungarian surname equivalent to the English surname Smith, traditionally associated with the occupation of a blacksmith.
  • A. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • D. János Gálicz
    János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
  • E. 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.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c50250b88190a0fcf3e0cbba0b1a completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad017084908190a81a784ae4a53c21 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad0259651c8190890e45c1786a9a50 completed March 8, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69ad03018aa4819090020ba89a11d0cd completed March 8, 2026, 5:02 a.m.
Created at: March 1, 2026, 8 p.m.