Triple

T2645718
Position Surface form Disambiguated ID Type / Status
Subject Roxanne E62977 entity
Predicate editedBy P1954 FINISHED
Object John Scott E184735 NE FINISHED

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: [Roxanne, editedBy, John Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Scott
Context triple: [Roxanne, editedBy, John Scott]
  • A. John Scott chosen
    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. 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.
  • C. 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.
  • D. 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.
  • E. John Brotherton
    John Brotherton is an American actor known for his roles in horror films like "The Conjuring" and television series such as "Fuller House."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd91846b4819093a063c15e1ee6af completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce812640819085c46f7452b5913b completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:53 p.m.