Triple

T2852003
Position Surface form Disambiguated ID Type / Status
Subject Leonhard E63113 entity
Predicate hasVariant P455 FINISHED
Object Lenhart
Lenhart is a surname and given name that functions as a variant form of the Germanic name Leonhard.
 E303698 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: Lenhart | Statement: [Leonhard, hasVariant, Lenhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lenhart
Context triple: [Leonhard, hasVariant, Lenhart]
  • A. Harris
    Harris is a common English-language surname borne by numerous notable individuals across fields such as politics, entertainment, sports, and academia.
  • B. Ervin
    Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
  • C. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • D. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • E. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • 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: Lenhart
Triple: [Leonhard, hasVariant, Lenhart]
Generated description
Lenhart is a surname and given name that functions as a variant form of the Germanic name Leonhard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lenhart
Target entity description: Lenhart is a surname and given name that functions as a variant form of the Germanic name Leonhard.
  • A. Harris
    Harris is a common English-language surname borne by numerous notable individuals across fields such as politics, entertainment, sports, and academia.
  • B. Ervin
    Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
  • C. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • D. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • E. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5ca2648190bd32c6ec4b0dd3b6 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e4e0b881908de5c4927609725e completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe98243508190837853fa2c08e44a completed March 10, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69b008b519bc81908768fba43c5c8d5e completed March 10, 2026, 12:04 p.m.
Created at: March 6, 2026, 10:02 p.m.