Triple

T16975903
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Williams E411807 entity
Predicate notableWork P4 FINISHED
Object Carry On Again Doctor E793897 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: Carry On Again Doctor | Statement: [Kenneth Williams, notableWork, Carry On Again Doctor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carry On Again Doctor
Context triple: [Kenneth Williams, notableWork, Carry On Again Doctor]
  • A. Carry On Again Doctor chosen
    Carry On Again Doctor is a 1969 British comedy film in the long-running "Carry On" series, featuring Joan Sims among its ensemble cast in a hospital-set farce.
  • B. Carry On Doctor
    Carry On Doctor is a 1967 British comedy film in the long-running "Carry On" series, set in a chaotic hospital and known for its slapstick humor and ensemble cast.
  • C. Carry On Nurse
    Carry On Nurse is a 1959 British comedy film in the long-running "Carry On" series, set in a hospital and known for its slapstick humor and ensemble cast.
  • D. Carry On Abroad
    Carry On Abroad is a 1972 British comedy film in the long-running "Carry On" series, centered on a chaotic package holiday to a fictional Mediterranean resort.
  • E. Carry On
    Carry On is a novel by Rainbow Rowell that reimagines a magical chosen-one story with a focus on character-driven fantasy and queer romance.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d183ff648190a3cb47242bf7e6ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.