Triple

T12119755
Position Surface form Disambiguated ID Type / Status
Subject Leslie E288661 entity
Predicate hasVariant P455 FINISHED
Object Lesli
Lesli is a given name, typically a variant spelling of Leslie used as a unisex or feminine first name.
E970062 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: Lesli | Statement: [Leslie, hasVariant, Lesli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesli
Context triple: [Leslie, hasVariant, Lesli]
  • A. Lesley
    Lesley is the given name of English soprano and media personality Lesley Garrett.
  • B. Leslie
    Leslie is the middle name of early 20th-century Major League Baseball pitcher Hippo Vaughn, a standout left-hander best known for his time with the Chicago Cubs.
  • C. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • D. Leslie
    Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
  • E. Leslie
    Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
  • 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: Lesli
Triple: [Leslie, hasVariant, Lesli]
Generated description
Lesli is a given name, typically a variant spelling of Leslie used as a unisex or feminine first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lesli
Target entity description: Lesli is a given name, typically a variant spelling of Leslie used as a unisex or feminine first name.
  • A. Lesley
    Lesley is the given name of English soprano and media personality Lesley Garrett.
  • B. Leslie
    Leslie is the middle name of early 20th-century Major League Baseball pitcher Hippo Vaughn, a standout left-hander best known for his time with the Chicago Cubs.
  • C. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • D. Leslie
    Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
  • E. Leslie
    Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a77e3588190bf84b3c3aa311641 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60d10449c81909bf53ab54993de0f completed May 2, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69f60dc353ac819082cb866f2b81555b completed May 2, 2026, 2:44 p.m.
Created at: April 8, 2026, 9:49 p.m.