Triple

T6126772
Position Surface form Disambiguated ID Type / Status
Subject The Zero Theorem E136613 entity
Predicate castMember P1668 FINISHED
Object Lily Cole E378418 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: Lily Cole | Statement: [The Zero Theorem, castMember, Lily Cole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lily Cole
Context triple: [The Zero Theorem, castMember, Lily Cole]
  • A. Lily Cole chosen
    Lily Cole is an English model and actress known for her distinctive look and roles in films such as "The Imaginarium of Doctor Parnassus."
  • B. Rosie Huntington-Whiteley
    Rosie Huntington-Whiteley is an English model and actress known for her work with Victoria’s Secret and for film roles including her appearance in Mad Max: Fury Road.
  • C. Lily Aldridge
    Lily Aldridge is an American fashion model best known for her work as a Victoria’s Secret Angel and appearances in major magazines such as the Sports Illustrated Swimsuit Issue.
  • D. Lily Rose Beatrice Allen
    Lily Rose Beatrice Allen is an English singer, songwriter, and actress known for her sharp, witty pop songs and outspoken public persona.
  • E. Trudie Styler
    Trudie Styler is an English actress, film producer, and environmental activist, known for her work in independent cinema and philanthropy.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2a13a48190b80e11d58fc87c8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135c44f008190bdef195511fe1111 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.