Triple

T8052226
Position Surface form Disambiguated ID Type / Status
Subject Norman Pitkin E187701 entity
Predicate portrayedBy P1507 FINISHED
Object Norman Wisdom E6354 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: Norman Wisdom | Statement: [Norman Pitkin, portrayedBy, Norman Wisdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Wisdom
Context triple: [Norman Pitkin, portrayedBy, Norman Wisdom]
  • A. Norman Wisdom chosen
    Norman Wisdom was a beloved English comedian, actor, and singer best known for his slapstick film roles in the mid-20th century, particularly as the character Norman Pitkin.
  • B. Norman Wisdom comedies
    Norman Wisdom comedies are a series of British slapstick films starring comedian Norman Wisdom as a well-meaning but hapless underdog whose bungling antics lead to humorous chaos.
  • C. Spike Milligan
    Spike Milligan was a British-Irish comedian, writer, poet, and actor best known as a leading figure of The Goon Show and a pioneer of surreal, influential postwar comedy.
  • D. Jon Arbuckle
    Jon Arbuckle is the socially awkward cartoonist and long-suffering owner of Garfield the cat in the Garfield comic strip and its adaptations.
  • E. Kenneth Williams
    Kenneth Williams was a celebrated British comic actor and raconteur, best known for his roles in the "Carry On" films and his distinctive, witty presence on radio and television panel shows.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7aab6481909d4a7cb9eabcd2af completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63d2d5008190b768e7a8b910e460 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:24 p.m.