Triple

T19781587
Position Surface form Disambiguated ID Type / Status
Subject Sir Patrick Abercrombie E475145 entity
Predicate givenName P17 FINISHED
Object Leslie
Leslie is the given name of Sir Patrick Abercrombie, a prominent British town planner and architect known for his influential mid-20th-century urban plans.
 E1393654 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: [Sir Patrick Abercrombie, givenName, Leslie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leslie
Context triple: [Sir Patrick Abercrombie, givenName, 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 a character featured in the work "Seascape."
  • E. Leslie
    Leslie is a Scottish noble family name historically associated with titles such as Lord Newark.
  • 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: [Sir Patrick Abercrombie, givenName, Leslie]
Generated description
Leslie is the given name of Sir Patrick Abercrombie, a prominent British town planner and architect known for his influential mid-20th-century urban plans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leslie
Target entity description: Leslie is the given name of Sir Patrick Abercrombie, a prominent British town planner and architect known for his influential mid-20th-century urban plans.
  • A. 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.
  • B. Leslie
    Leslie is a Scottish noble family name historically associated with titles such as Lord Newark.
  • C. Leslie
    Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
  • D. Leslie
    Leslie is a given name used for people of any gender in English-speaking countries.
  • E. Leslie
    Leslie is the first name of Canadian singer-songwriter Feist, known for her indie pop music and distinctive vocal style.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653846a248190adc4afe0dc29a402 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd5f0a208190bd471c6e8d544a2a completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be2233c48190a9337bf238b0944b completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07be94ac8081909dadabadaa4be370 completed May 16, 2026, 12:47 a.m.
Created at: April 10, 2026, 1:49 p.m.