Triple

T8825066
Position Surface form Disambiguated ID Type / Status
Subject Scott’s Grotto E209994 entity
Predicate namedAfter P63 FINISHED
Object John Scott
John Scott was an 18th-century English poet and essayist known for his landscape poetry and for creating the ornamental retreat now called Scott’s Grotto.
 E764030 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: John Scott | Statement: [Scott’s Grotto, namedAfter, John Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Scott
Context triple: [Scott’s Grotto, namedAfter, John Scott]
  • A. John Scott
    John Scott was a notable historical figure whose legacy is honored through the John Scott Medal, an award recognizing significant contributions to science and the useful arts.
  • B. John Scott
    John Scott is a British composer and conductor known for his prolific work on film and television scores.
  • C. John Scott
    John Scott is a journalist who served as the editor of the publication Newsfront.
  • D. John Scott
    John Scott was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • E. Charles Cameron
    Charles Cameron was an 18th-century Scottish neoclassical architect renowned for his work at the Russian imperial court, particularly for Empress Catherine the Great.
  • 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: John Scott
Triple: [Scott’s Grotto, namedAfter, John Scott]
Generated description
John Scott was an 18th-century English poet and essayist known for his landscape poetry and for creating the ornamental retreat now called Scott’s Grotto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Scott
Target entity description: John Scott was an 18th-century English poet and essayist known for his landscape poetry and for creating the ornamental retreat now called Scott’s Grotto.
  • A. John Scott
    John Scott was a notable historical figure whose legacy is honored through the John Scott Medal, an award recognizing significant contributions to science and the useful arts.
  • B. John Scott
    John Scott is a British composer and conductor known for his prolific work on film and television scores.
  • C. John Scott
    John Scott is a journalist who served as the editor of the publication Newsfront.
  • D. John Scott
    John Scott was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • E. Charles Cameron
    Charles Cameron was an 18th-century Scottish neoclassical architect renowned for his work at the Russian imperial court, particularly for Empress Catherine the Great.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc603220508190b64e22dec3ee5ceb completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cfab71962c8190823a1ca1d4fa56f3 completed April 3, 2026, 11:58 a.m.
NEDg Description generation batch_69cfac76d0f8819090c2bff520db52f4 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad04e514819084bf30b8f026c031 completed April 3, 2026, 12:05 p.m.
Created at: March 30, 2026, 6:46 p.m.