Triple

T2426563
Position Surface form Disambiguated ID Type / Status
Subject Leonard E53541 entity
Predicate hasVariant P455 FINISHED
Object Lennard
Lennard is a given name, typically a variant of Leonard, used as a masculine first name in various European countries.
 E266131 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: Lennard | Statement: [Leonard, hasVariant, Lennard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lennard
Context triple: [Leonard, hasVariant, Lennard]
  • A. Layne
    Layne is a given name used for both males and females, often considered a variant spelling of the name Lane.
  • B. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • C. Lanman
    Lanman is a surname most notably associated with American philanthropist William K. Lanman Jr., a major benefactor of Yale University.
  • D. Lenno
    Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
  • E. Lindemann
    Lindemann is a German surname most notably associated with Ferdinand von Lindemann, the mathematician who proved that π is a transcendental number.
  • 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: Lennard
Triple: [Leonard, hasVariant, Lennard]
Generated description
Lennard is a given name, typically a variant of Leonard, used as a masculine first name in various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lennard
Target entity description: Lennard is a given name, typically a variant of Leonard, used as a masculine first name in various European countries.
  • A. Layne
    Layne is a given name used for both males and females, often considered a variant spelling of the name Lane.
  • B. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • C. Lanman
    Lanman is a surname most notably associated with American philanthropist William K. Lanman Jr., a major benefactor of Yale University.
  • D. Lenno
    Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
  • E. Lindemann
    Lindemann is a German surname most notably associated with Ferdinand von Lindemann, the mathematician who proved that π is a transcendental number.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec7698e9881909c75137cb5cf2a0c completed March 9, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69aec87df0648190b8099b4eaa3d9b22 completed March 9, 2026, 1:17 p.m.
Created at: March 6, 2026, 9:42 p.m.