Triple

T22730080
Position Surface form Disambiguated ID Type / Status
Subject Peter Beardsley E562110 entity
Predicate fullName P16 FINISHED
Object Peter Andrew Beardsley 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 Andrew Beardsley | Statement: [Peter Beardsley, fullName, Peter Andrew Beardsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Andrew Beardsley
Context triple: [Peter Beardsley, fullName, Peter Andrew Beardsley]
  • A. Ric Beardsley
    Ric Beardsley is a former standout defenseman for Syracuse University’s men’s lacrosse team who went on to play professionally and become a well-known coach and instructor in the sport.
  • B. Peter Beardsley chosen
    Peter Beardsley is a former English footballer best known as a creative forward for clubs such as Newcastle United, Liverpool, and the England national team.
  • C. George Beckham
    George Beckham is an individual associated with the use or ownership of an item or brand linked to the name Beckham.
  • D. Nelson Wilbury
    Nelson Wilbury is a pseudonym used by George Harrison as a member of the Traveling Wilburys, the supergroup that recorded the song "Tweeter and the Monkey Man."
  • E. Geoffrey Toone
    Geoffrey Toone was a British actor known for his extensive work in film, television, and theatre throughout the mid-20th century.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792cb9cc8190a7c45032427bca1a completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.