Triple

T16657962
Position Surface form Disambiguated ID Type / Status
Subject Leslie Bricusse E404781 entity
Predicate hasGivenName P17 FINISHED
Object Leslie
Leslie is a given name used by various notable individuals across fields such as entertainment, politics, and literature.
E288661 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: Leslie | Statement: [Leslie Bricusse, hasGivenName, Leslie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie
Context triple: [Leslie Bricusse, hasGivenName, Leslie]
  • A. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • B. 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.
  • C. Leslie
    Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
  • D. Leslie
    Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
  • E. 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.
  • 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: Leslie
Triple: [Leslie Bricusse, hasGivenName, Leslie]
Generated description
Leslie is a given name used by various notable individuals across fields such as entertainment, politics, and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leslie
Target entity description: Leslie is a given name used by various notable individuals across fields such as entertainment, politics, and literature.
  • A. Leslie chosen
    Leslie is a given name used for people of any gender in English-speaking countries.
  • B. Leslie
    Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
  • C. Leslie
    Leslie is the first name of Canadian singer-songwriter Feist, known for her indie pop music and distinctive vocal style.
  • 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 character featured in the work "Seascape."
  • F. None of above.

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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfbfd7c819092c92f6c8da07dbd completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084ccbc888190816cdf0ea67b0a90 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008576b0bc81909fdf0b7d26f4c2c1 completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0085e4b6ec81908383085ff08f0dce completed May 10, 2026, 1:19 p.m.
Created at: April 10, 2026, 5:18 a.m.