Triple

T22975703
Position Surface form Disambiguated ID Type / Status
Subject Mr. Bean’s Holiday E571309 entity
Predicate producer P490 FINISHED
Object Peter Bennett-Jones 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 Bennett-Jones | Statement: [Mr. Bean’s Holiday, producer, Peter Bennett-Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Bennett-Jones
Context triple: [Mr. Bean’s Holiday, producer, Peter Bennett-Jones]
  • A. Peter Bennett-Jones chosen
    Peter Bennett-Jones is a British television and film producer and talent agent best known for his work on hit comedies such as "Mr. Bean" and for founding the production company Tiger Aspect.
  • B. Peter Bennett
    Peter Bennett is a British television producer best known for his work on the long-running sci-fi series Doctor Who and its related projects.
  • C. Peter Blundell
    Peter Blundell was an English merchant and philanthropist best known for endowing educational institutions in the late 16th century.
  • D. Peter Murray-Hill
    Peter Murray-Hill was a British actor active in the mid-20th century, known for his roles in films and stage productions.
  • E. Mark Bennett
    Mark Bennett is a theatrical sound designer known for his work on major stage productions, including the Broadway trilogy "The Coast of Utopia."
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18235de508190ab9675d005870ff6 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.