Triple

T17346438
Position Surface form Disambiguated ID Type / Status
Subject Bentham Professor of Jurisprudence E421698 entity
Predicate hasHeldBy P44019 FINISHED
Object Andrew Ashworth NE ONDG

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: Andrew Ashworth | Statement: [Bentham Professor of Jurisprudence, hasHeldBy, Andrew Ashworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Ashworth
Context triple: [Bentham Professor of Jurisprudence, hasHeldBy, Andrew Ashworth]
  • A. John Robert Godley
    John Robert Godley was a 19th-century Anglo-Irish statesman and colonial reformer best known as a founding figure of the Canterbury settlement in New Zealand.
  • B. Dominic Grieve
    Dominic Grieve is a British barrister and former Conservative Member of Parliament who served as Attorney General for England and Wales from 2010 to 2014.
  • C. Lord Neuberger of Abbotsbury
    Lord Neuberger of Abbotsbury is a British judge who served as President of the Supreme Court of the United Kingdom from 2012 to 2017.
  • D. Roy Kirk
    Roy Kirk is a fictional character from the Star Trek universe, known for his role in the backstory of the Earth probe Nomad in the original series episode "The Changeling."
  • E. Lord Justice Taylor
    Lord Justice Taylor was a senior British judge best known for leading the inquiry into the Hillsborough disaster and producing the influential Taylor Report on football stadium safety.
  • 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: Andrew Ashworth
Triple: [Bentham Professor of Jurisprudence, hasHeldBy, Andrew Ashworth]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Ashworth
Target entity description: Andrew Ashworth is a prominent British legal scholar renowned for his influential work in criminal law and sentencing theory.
  • A. John Robert Godley
    John Robert Godley was a 19th-century Anglo-Irish statesman and colonial reformer best known as a founding figure of the Canterbury settlement in New Zealand.
  • B. Dominic Grieve
    Dominic Grieve is a British barrister and former Conservative Member of Parliament who served as Attorney General for England and Wales from 2010 to 2014.
  • C. Lord Neuberger of Abbotsbury
    Lord Neuberger of Abbotsbury is a British judge who served as President of the Supreme Court of the United Kingdom from 2012 to 2017.
  • D. Roy Kirk
    Roy Kirk is a fictional character from the Star Trek universe, known for his role in the backstory of the Earth probe Nomad in the original series episode "The Changeling."
  • E. Lord Justice Taylor
    Lord Justice Taylor was a senior British judge best known for leading the inquiry into the Hillsborough disaster and producing the influential Taylor Report on football stadium safety.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2923b48190a5d1abd3f535c59f completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195546198819085804ec0b5b18040 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01965807cc819088792a88b8a099d3 in_progress May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:44 a.m.