Triple

T38507
Position Surface form Disambiguated ID Type / Status
Subject Lee E762 entity
Predicate hasVariant P455 FINISHED
Object Leigh
Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
E6683 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: Leigh | Statement: [Lee, hasVariant, Leigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leigh
Context triple: [Lee, hasVariant, Leigh]
  • A. Gloucester
    Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
  • B. Salford
    Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
  • C. Kendal Green
    Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • D. Manchester Victoria
    Manchester Victoria is a major railway station in Manchester city centre, serving as a key hub for regional and local train services across northern England.
  • E. Bacup
    Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
  • 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: Leigh
Triple: [Lee, hasVariant, Leigh]
Generated description
Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leigh
Target entity description: Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
  • A. Gloucester
    Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
  • B. Salford
    Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
  • C. Kendal Green
    Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • D. Manchester Victoria
    Manchester Victoria is a major railway station in Manchester city centre, serving as a key hub for regional and local train services across northern England.
  • E. Bacup
    Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab3438c81908ff16eb23a09fea7 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ba68f1081908f88d2bb2af35af6 completed Feb. 28, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69a25c4a5fa8819082a737e1f0251a8a completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.