Triple

T2350709
Position Surface form Disambiguated ID Type / Status
Subject Peaky Blinders E47440 entity
Predicate starring P1507 FINISHED
Object Sophie Rundle
Sophie Rundle is a British actress best known for her role as Ada Shelby in the television crime drama series "Peaky Blinders."
 E258391 NE FINISHED

How this triple was built (4 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: Sophie Rundle | Statement: [Peaky Blinders, starring, Sophie Rundle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sophie Rundle
Context triple: [Peaky Blinders, starring, Sophie Rundle]
  • A. Sophia Di Martino
    Sophia Di Martino is a British actress best known for her role as Sylvie in the Marvel series "Loki" and for appearances in films and television including the romantic comedy "Yesterday."
  • B. Katherine Hoult
    Katherine Hoult is known as the spouse of Richard Mather.
  • C. Anya Taylor-Joy
    Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
  • D. Lucy Boynton
    Lucy Boynton is a British-American actress known for her roles in films such as "Bohemian Rhapsody" and "Sing Street," as well as various television dramas.
  • E. Joey King
    Joey King is an American actress known for her roles in films such as "The Kissing Booth" series, "The Act," and various other television and movie projects.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sophie Rundle
Triple: [Peaky Blinders, starring, Sophie Rundle]
Generated description
Sophie Rundle is a British actress best known for her role as Ada Shelby in the television crime drama series "Peaky Blinders."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sophie Rundle
Target entity description: Sophie Rundle is a British actress best known for her role as Ada Shelby in the television crime drama series "Peaky Blinders."
  • A. Sophia Di Martino
    Sophia Di Martino is a British actress best known for her role as Sylvie in the Marvel series "Loki" and for appearances in films and television including the romantic comedy "Yesterday."
  • B. Katherine Hoult
    Katherine Hoult is known as the spouse of Richard Mather.
  • C. Anya Taylor-Joy
    Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
  • D. Lucy Boynton
    Lucy Boynton is a British-American actress known for her roles in films such as "Bohemian Rhapsody" and "Sing Street," as well as various television dramas.
  • E. Joey King
    Joey King is an American actress known for her roles in films such as "The Kissing Booth" series, "The Act," and various other television and movie projects.
  • F. None of above. chosen

Provenance (5 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6cfffc88190b49433f52581420e completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae962f769881909a7713880eaa9b84 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96b399608190bfa846c433612142 completed March 9, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae977aac9c8190b5fecd5fea8893fd completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:54 p.m.