Triple

T1107941
Position Surface form Disambiguated ID Type / Status
Subject The Young Victoria E25528 entity
Predicate editor P1954 FINISHED
Object Jill Bilcock
Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
 E306294 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: Jill Bilcock | Statement: [The Young Victoria, editor, Jill Bilcock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jill Bilcock
Context triple: [The Young Victoria, editor, Jill Bilcock]
  • A. Jill Balcon
    Jill Balcon was a British actress and poet, known for her work in film, radio, and on stage, and as the daughter of film producer Michael Balcon.
  • B. Julie Buck
    Julie Buck is a member of the Buck family, known primarily as a relative of American sportscaster Joe Buck.
  • C. Jill Messick
    Jill Messick was an American film producer and entertainment executive who co-founded Sally Ride Science and worked on several notable Hollywood projects.
  • D. Jill Rutter
    Jill Rutter is a British public policy expert and commentator known for her work on government effectiveness, civil service reform, and Brexit-related policy issues.
  • E. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • 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: Jill Bilcock
Triple: [The Young Victoria, editor, Jill Bilcock]
Generated description
Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jill Bilcock
Target entity description: Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
  • A. Jill Balcon
    Jill Balcon was a British actress and poet, known for her work in film, radio, and on stage, and as the daughter of film producer Michael Balcon.
  • B. Julie Buck
    Julie Buck is a member of the Buck family, known primarily as a relative of American sportscaster Joe Buck.
  • C. Jill Messick
    Jill Messick was an American film producer and entertainment executive who co-founded Sally Ride Science and worked on several notable Hollywood projects.
  • D. Jill Rutter
    Jill Rutter is a British public policy expert and commentator known for her work on government effectiveness, civil service reform, and Brexit-related policy issues.
  • E. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e47e4881908928900df72781f0 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b01ccc410c819094800b656937b61e completed March 10, 2026, 1:29 p.m.
NEDg Description generation batch_69b020a6f0a48190b89b0f0f63b0a6ce completed March 10, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69b0216e565c819095b849d072813029 completed March 10, 2026, 1:49 p.m.
Created at: March 1, 2026, 7:43 p.m.