Triple

T7656253
Position Surface form Disambiguated ID Type / Status
Subject Annabel Jones E173390 entity
Predicate knownFor P22 FINISHED
Object Black Mirror E134619 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: Black Mirror | Statement: [Annabel Jones, knownFor, Black Mirror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Mirror
Context triple: [Annabel Jones, knownFor, Black Mirror]
  • A. Black Mirror chosen
    Black Mirror is a British science fiction anthology television series that explores the dark and often dystopian consequences of modern and near-future technology on society and human behavior.
  • B. Black Mirror: USS Callister
    Black Mirror: USS Callister is a critically acclaimed episode of the anthology series Black Mirror that satirizes classic space opera tropes while exploring themes of power, escapism, and digital consciousness.
  • C. Black Mirror: Arkangel
    Black Mirror: Arkangel is a dystopian anthology episode that explores parental overprotection and surveillance technology through a chilling near-future scenario.
  • D. Black Mirror: The National Anthem
    Black Mirror: The National Anthem is the provocative first episode of the anthology series Black Mirror, depicting a shocking political crisis that satirizes media sensationalism and public voyeurism.
  • E. Halt and Catch Fire
    Halt and Catch Fire is a critically acclaimed drama television series about a group of innovators navigating the early personal computing and internet boom of the 1980s and 1990s.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac925a6c8190aa7a4fe4f580d14f completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:59 p.m.