Triple

T749965
Position Surface form Disambiguated ID Type / Status
Subject Charles Noel Carnegie, 10th Earl of Southesk E15424 entity
Predicate middleName P143 FINISHED
Object Noel
Noel is the middle name of Charles Noel Carnegie, the 10th Earl of Southesk, a Scottish nobleman of the late 19th and early 20th centuries.
 E90976 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: Noel | Statement: [Charles Noel Carnegie, 10th Earl of Southesk, middleName, Noel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noel
Context triple: [Charles Noel Carnegie, 10th Earl of Southesk, middleName, Noel]
  • A. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • C. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • 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 small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • 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: Noel
Triple: [Charles Noel Carnegie, 10th Earl of Southesk, middleName, Noel]
Generated description
Noel is the middle name of Charles Noel Carnegie, the 10th Earl of Southesk, a Scottish nobleman of the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noel
Target entity description: Noel is the middle name of Charles Noel Carnegie, the 10th Earl of Southesk, a Scottish nobleman of the late 19th and early 20th centuries.
  • A. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • C. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • 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 small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6304e0c8190827fb57c5cac2da9 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66671ebd48190a785be0ae0d3588c completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a666ded0288190a43e8a13db4f6914 completed March 3, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69a667b8de2c819092f9a4c10abeeb56 completed March 3, 2026, 4:46 a.m.
Created at: March 1, 2026, 7:37 p.m.