Triple

T20880438
Position Surface form Disambiguated ID Type / Status
Subject One Down, Five to Go E514129 entity
Predicate hasLightingDesigner P184 FINISHED
Object Hugh Vanstone 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: Hugh Vanstone | Statement: [One Down, Five to Go, hasLightingDesigner, Hugh Vanstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Vanstone
Context triple: [One Down, Five to Go, hasLightingDesigner, Hugh Vanstone]
  • A. Hugh Vanstone chosen
    Hugh Vanstone is an acclaimed British lighting designer known for his work on numerous major theatre productions in the West End and on Broadway.
  • B. Michael Vanstone
    Michael Vanstone is a fictional character, likely from a literary or dramatic work, whose role and traits are defined within the narrative that features him.
  • C. Hugo McDodd
    Hugo McDodd is one of the many children of Mayor Ned McDodd in the animated film "Horton Hears a Who!"
  • D. Frank Greystock
    Frank Greystock is a central figure in Anthony Trollope’s Palliser novel "The Eustace Diamonds," portrayed as an ambitious yet morally conflicted politician entangled in complex romantic and social obligations.
  • E. Edward Shearmur
    Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67974348190bd3484032c0d7b31 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.