Triple

T21324144
Position Surface form Disambiguated ID Type / Status
Subject Bernard Bresslaw E525702 entity
Predicate appearedIn P795 FINISHED
Object Carry On Behind E1481906 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 Behind | Statement: [Bernard Bresslaw, appearedIn, Carry On Behind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carry On Behind
Context triple: [Bernard Bresslaw, appearedIn, Carry On Behind]
  • A. Carry On Behind chosen
    Carry On Behind is a 1975 British comedy film in the long-running "Carry On" series, parodying archaeological digs and holiday camps with the franchise’s trademark bawdy humor.
  • B. 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.
  • C. Carry On
    "Carry On" is a pop song co-written by American songwriter Sean Douglas, best known for his work with major contemporary artists.
  • D. Carry On
    Carry On is the 2007 solo studio album by American rock musician Chris Cornell, blending alternative rock with elements of pop and soul.
  • E. Carry On
    Carry On is a long-running British comedy film series known for its ensemble cast, slapstick humor, and innuendo-laden parodies of various genres and institutions.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed652c881909b0db482bc090993 completed April 21, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c291709481908028762a670654ff completed May 17, 2026, 1:28 p.m.
Created at: April 16, 2026, 4:40 p.m.