Triple

T19990510
Position Surface form Disambiguated ID Type / Status
Subject Newsfront E494048 entity
Predicate hasEditor P1954 FINISHED
Object John Scott NE NERFINISHED

How this triple was built (2 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, hasEditor, John Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Scott
Context triple: [Newsfront, hasEditor, John Scott]
  • A. John Scott
    John Scott, later known as Lord Eldon, was a prominent British lawyer and Conservative Lord Chancellor of England in the late 18th and early 19th centuries, noted for his influential but often slow-moving equity jurisprudence.
  • B. 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.
  • C. John Scott
    John Scott is a British composer and conductor known for his prolific work on film and television scores.
  • D. John Scott chosen
    John Scott is a journalist who served as the editor of the publication Newsfront.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe00b908190bda6b9a3a3281ec0 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.