Triple

T29487828
Position Surface form Disambiguated ID Type / Status
Subject Derren Brown: Russian Roulette E747978 entity
Predicate receivedComplaintsTo P91596 FINISHED
Object Ofcom 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: Ofcom | Statement: [Derren Brown: Russian Roulette, receivedComplaintsTo, Ofcom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivedComplaintsTo
Context triple: [Derren Brown: Russian Roulette, receivedComplaintsTo, Ofcom]
  • A. reportsReceived
    Indicates that one entity has obtained or been given one or more reports from another entity or source.
  • B. handlesComplaintsOn chosen
    Indicates that one entity is responsible for receiving, managing, or resolving complaints related to another entity.
  • C. complainedTo
    Indicates that one entity expressed dissatisfaction, criticism, or a grievance directly to another entity.
  • D. receivedSupportFrom
    Indicates that one entity obtained help, resources, or backing from another entity.
  • E. reportsSubmittedTo
    Indicates that one party has delivered or filed reports to another designated recipient or authority.
  • 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_69f0bd43ba30819095eb1cfc3adf525c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa1c555081908787dbf76147f180 completed May 3, 2026, 1:51 a.m.
Created at: April 28, 2026, 4:10 p.m.