Triple

T13667658
Position Surface form Disambiguated ID Type / Status
Subject Death at a Funeral E327662 entity
Predicate castMember P1668 FINISHED
Object Peter Vaughan E180573 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: Peter Vaughan | Statement: [Death at a Funeral, castMember, Peter Vaughan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Vaughan
Context triple: [Death at a Funeral, castMember, Peter Vaughan]
  • A. Peter Vaughan chosen
    Peter Vaughan was a British character actor known for his powerful screen presence in film and television, including roles in works like "Brazil," "Straw Dogs," and later "Game of Thrones."
  • B. Peter Nicholls
    Peter Nicholls was an Australian literary scholar and critic best known as the founding editor of *The Encyclopedia of Science Fiction*, a landmark reference work in the genre.
  • C. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • D. John Stephen Vaughan
    John Stephen Vaughan was an English Roman Catholic bishop and member of the prominent Vaughan ecclesiastical family in the late 19th and early 20th centuries.
  • E. James Naughton
    James Naughton is an American actor known for his work in film, television, and on Broadway, including his Tony Award-winning stage performances.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0cfe0c8190b0fe50931e9788cf completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.