Triple

T5072237
Position Surface form Disambiguated ID Type / Status
Subject Newsfront E114307 entity
Predicate editor P1954 FINISHED
Object John Scott
John Scott is a journalist who served as the editor of the publication Newsfront.
 E494048 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: [Newsfront, editor, John Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Scott
Context triple: [Newsfront, editor, 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. 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.
  • D. William Kirkpatrick
    William Kirkpatrick is a relatively obscure individual whose name is shared with multiple historical and contemporary figures across politics, military service, and public life.
  • E. John Brodie
    John Brodie was a British civil engineer best known for his major infrastructure projects in Liverpool, including pioneering road tunnels and urban planning innovations.
  • 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: [Newsfront, editor, John Scott]
Generated description
John Scott is a journalist who served as the editor of the publication Newsfront.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Scott
Target entity description: John Scott is a journalist who served as the editor of the publication Newsfront.
  • 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. 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.
  • D. William Kirkpatrick
    William Kirkpatrick is a relatively obscure individual whose name is shared with multiple historical and contemporary figures across politics, military service, and public life.
  • E. John Brodie
    John Brodie was a British civil engineer best known for his major infrastructure projects in Liverpool, including pioneering road tunnels and urban planning innovations.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74ce140881909a2874663244c0db completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba689ee081909a6bb75c6da07db5 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebc0907fc8190904f5e0f63b6213f completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebc5a79608190bad0fdd6e5a099ef completed March 21, 2026, 3:42 p.m.
Created at: March 20, 2026, 1:39 p.m.