Triple

T28449544
Position Surface form Disambiguated ID Type / Status
Subject The Vortex E716533 entity
Predicate censorshipStatusAtPremiere P40618 FINISHED
Object subject to Lord Chamberlain scrutiny LITERAL 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: subject to Lord Chamberlain scrutiny | Statement: [The Vortex, censorshipStatusAtPremiere, subject to Lord Chamberlain scrutiny]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: censorshipStatusAtPremiere
Context triple: [The Vortex, censorshipStatusAtPremiere, subject to Lord Chamberlain scrutiny]
  • A. censorshipStatusAtTime chosen
    Indicates the censorship status of something at a specific point in time, capturing whether and how it was censored then.
  • B. countryOfPremiere
    Indicates the country in which a work (such as a film, show, or performance) was first publicly premiered.
  • C. wasCensored
    Indicates that an entity’s content, expression, or communication was suppressed, altered, or restricted by an authority or controlling party.
  • D. revisedVersionCensorshipStatus
    Indicates the censorship or restriction status applied to a revised version of some original content.
  • E. conductedPremiereOf
    Indicates that one entity organized and presented the first public performance or showing of another entity (such as a work, event, or production).
  • F. None of above.

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_69efd6b76f8c8190a7ba908aca280942 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64e70e04c819090dd3e66f7f13ca0 completed May 2, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69f64caede108190a35cc7cbfead866f completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 1:51 a.m.