Triple

T18378187
Position Surface form Disambiguated ID Type / Status
Subject The Blue Max E446370 entity
Predicate castMember P1668 FINISHED
Object Peter Woodthorpe 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: Peter Woodthorpe | Statement: [The Blue Max, castMember, Peter Woodthorpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Woodthorpe
Context triple: [The Blue Max, castMember, Peter Woodthorpe]
  • A. Peter Woodthorpe chosen
    Peter Woodthorpe was an English character actor known for his work in film, television, and radio, including notable voice roles in fantasy adaptations.
  • B. Anthony Wood
    Anthony Wood was a 17th-century English antiquary and historian best known for his detailed works on the history and biography of the University of Oxford.
  • C. Anthony Wood
    Anthony Wood is a central character in the 1973 mystery film "The Last of Sheila," involved in a complex whodunit plot surrounding a deadly yacht party game.
  • D. Anthony Wood
    Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
  • E. Philip Hardwick
    Philip Hardwick was a prominent 19th-century English architect known for his influential industrial and railway architecture, including major works in London and Liverpool.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179919c881908d55ea24f93c5827 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.