Triple

T19470128
Position Surface form Disambiguated ID Type / Status
Subject The Ploughman’s Lunch E487099 entity
Predicate starredActor P5563 FINISHED
Object Ronald Pickup 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: Ronald Pickup | Statement: [The Ploughman’s Lunch, starredActor, Ronald Pickup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Pickup
Context triple: [The Ploughman’s Lunch, starredActor, Ronald Pickup]
  • A. Ronald Pickup chosen
    Ronald Pickup was an English character actor known for his extensive work in British television, film, and theatre, including roles in productions such as "The Crown" and "The Best Exotic Marigold Hotel."
  • B. John Langer
    John Langer is a notable individual distinguished enough to be specifically cited as a prominent bearer of the surname Langer.
  • C. Philip Pugh
    Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
  • D. Hugh Shearer
    Hugh Shearer was a Jamaican politician, trade unionist, and the third Prime Minister of Jamaica, serving from 1967 to 1972.
  • E. Gordon Pinsent
    Gordon Pinsent was a celebrated Canadian actor, writer, and director known for his prolific film, television, and stage career spanning several decades.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e809008190b0021d41b99f9700 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.