Triple

T11243471
Position Surface form Disambiguated ID Type / Status
Subject Lennart E266135 entity
Predicate relatedName P3889 FINISHED
Object Lenart
Lenart is a given name and surname of Slavic origin, commonly used in Central and Eastern Europe.
 E913537 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: Lenart | Statement: [Lennart, relatedName, Lenart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lenart
Context triple: [Lennart, relatedName, Lenart]
  • A. Janson
    Janson is a surname and given name of European origin, often considered a variant of Jackson.
  • B. Luzi von Sonnenthal
    Luzi von Sonnenthal was the wife of Austrian composer Erich Wolfgang Korngold and a member of the prominent Viennese theatrical Sonnenthal family.
  • C. Vallotton
    Vallotton is a Swiss surname most notably associated with Félix Vallotton, a post-Impressionist painter and printmaker linked to the Nabis movement.
  • D. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • E. Dore
    Dore is a suburban village on the southwestern edge of Sheffield, England, known for its affluent residential character and proximity to the Peak District.
  • 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: Lenart
Triple: [Lennart, relatedName, Lenart]
Generated description
Lenart is a given name and surname of Slavic origin, commonly used in Central and Eastern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lenart
Target entity description: Lenart is a given name and surname of Slavic origin, commonly used in Central and Eastern Europe.
  • A. Janson
    Janson is a surname and given name of European origin, often considered a variant of Jackson.
  • B. Luzi von Sonnenthal
    Luzi von Sonnenthal was the wife of Austrian composer Erich Wolfgang Korngold and a member of the prominent Viennese theatrical Sonnenthal family.
  • C. Vallotton
    Vallotton is a Swiss surname most notably associated with Félix Vallotton, a post-Impressionist painter and printmaker linked to the Nabis movement.
  • D. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • E. Dore
    Dore is a suburban village on the southwestern edge of Sheffield, England, known for its affluent residential character and proximity to the Peak District.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad849f70819098a7056fbc4831ff completed April 19, 2026, 10:25 a.m.
NEDg Description generation batch_69e4b12eee348190bee6c84587e4955d completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4be2bb8c88190a21773b0c43b6b99 completed April 19, 2026, 11:36 a.m.
Created at: April 8, 2026, 9:30 p.m.