Triple

T22769407
Position Surface form Disambiguated ID Type / Status
Subject Nosedive E563213 entity
Predicate mainCharacter P1183 FINISHED
Object Lacie Pound 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: Lacie Pound | Statement: [Nosedive, mainCharacter, Lacie Pound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lacie Pound
Context triple: [Nosedive, mainCharacter, Lacie Pound]
  • A. Lacie Pound chosen
    Lacie Pound is the main character in the "Black Mirror" episode "Nosedive," a woman obsessed with her social rating in a near-future society where every interaction is publicly scored.
  • B. Victoria Larkin
    Victoria Larkin is the wife of English actor Chris Larkin, known for maintaining a private life largely out of the public spotlight.
  • C. Toni Lindsay
    Toni Lindsay is a musician and songwriter known for composing the track "Wishing It Was."
  • D. Lisa Lynne
    Lisa Lynne is an American Celtic harpist and composer known for her melodic, folk-inspired instrumental music and collaborations in the new age and world music genres.
  • E. Laurie MacKenzie
    Laurie MacKenzie is a musician best known as a later-era guitarist for the Canadian rock band The Guess Who.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.