Triple

T8423002
Position Surface form Disambiguated ID Type / Status
Subject Banbury (UK Parliament constituency) E198906 entity
Predicate currentMP P69740 FINISHED
Object Victoria Prentis
Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
E751611 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: Victoria Prentis | Statement: [Banbury (UK Parliament constituency), currentMP, Victoria Prentis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Prentis
Context triple: [Banbury (UK Parliament constituency), currentMP, Victoria Prentis]
  • A. Victoria Duffy
    Victoria Duffy is an American actress and producer best known for her long-term relationship and marriage to actor and filmmaker Dennis Hopper.
  • B. Victoria Ward
    Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
  • C. Jennifer Mordaunt
    Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
  • D. Kate Moseley
    Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
  • E. Claire Higgins
    Claire Higgins is an acclaimed English actress known for her work in film, television, and especially on the stage, including award-winning performances in London theatre.
  • 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: Victoria Prentis
Triple: [Banbury (UK Parliament constituency), currentMP, Victoria Prentis]
Generated description
Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria Prentis
Target entity description: Victoria Prentis is a British Conservative Party politician and government minister who has served as the Member of Parliament for Banbury since 2015.
  • A. Victoria Duffy
    Victoria Duffy is an American actress and producer best known for her long-term relationship and marriage to actor and filmmaker Dennis Hopper.
  • B. Victoria Ward
    Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
  • C. Jennifer Mordaunt
    Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
  • D. Kate Moseley
    Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
  • E. Claire Higgins
    Claire Higgins is an acclaimed English actress known for her work in film, television, and especially on the stage, including award-winning performances in London theatre.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859f787481908a11797a317c8849 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cef2e998c48190a112fcf5567f0056 completed April 2, 2026, 10:51 p.m.
NEDg Description generation batch_69cef4cbc0788190bf95aa8058a8d895 completed April 2, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cef830e4e48190bf337a526cc82119 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 6:06 p.m.