Triple

T20766256
Position Surface form Disambiguated ID Type / Status
Subject Leeds Modern School E511105 entity
Predicate notableAlumni P51 FINISHED
Object Alan Rhodes
Alan Rhodes is a British politician who has served as the Labour leader of Derbyshire County Council.
E1449701 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: Alan Rhodes | Statement: [Leeds Modern School, notableAlumni, Alan Rhodes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Rhodes
Context triple: [Leeds Modern School, notableAlumni, Alan Rhodes]
  • A. Ronald Lockley
    Ronald Lockley was a Welsh naturalist, ornithologist, and author renowned for his pioneering seabird research and influential nature writing.
  • B. Roderic Hill
    Roderic Hill was a British air chief marshal and academic leader who served as Rector of Imperial College London after a distinguished career in the Royal Air Force.
  • C. Thomas Holt
    Thomas Holt was a prominent early 17th-century English architect and master mason best known for designing key Renaissance-style buildings at the University of Oxford.
  • D. Andrew Kaiser
    Andrew Kaiser is a film composer best known for scoring the horror-comedy movie "Tucker & Dale vs. Evil."
  • E. John Seale
    John Seale is an Australian cinematographer renowned for his Academy Award–winning work on films such as "The English Patient" and his visually striking collaborations with major directors.
  • 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: Alan Rhodes
Triple: [Leeds Modern School, notableAlumni, Alan Rhodes]
Generated description
Alan Rhodes is a British politician who has served as the Labour leader of Derbyshire County Council.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alan Rhodes
Target entity description: Alan Rhodes is a British politician who has served as the Labour leader of Derbyshire County Council.
  • A. Ronald Lockley
    Ronald Lockley was a Welsh naturalist, ornithologist, and author renowned for his pioneering seabird research and influential nature writing.
  • B. Roderic Hill
    Roderic Hill was a British air chief marshal and academic leader who served as Rector of Imperial College London after a distinguished career in the Royal Air Force.
  • C. Thomas Holt
    Thomas Holt was a prominent early 17th-century English architect and master mason best known for designing key Renaissance-style buildings at the University of Oxford.
  • D. Andrew Kaiser
    Andrew Kaiser is a film composer best known for scoring the horror-comedy movie "Tucker & Dale vs. Evil."
  • E. John Seale
    John Seale is an Australian cinematographer renowned for his Academy Award–winning work on films such as "The English Patient" and his visually striking collaborations with major directors.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24ceab8819094e331c57abe6879 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef8b07648190bac0f417a4aa06bc completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f23554208190aa1dc7294ab62e6c completed May 16, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_6a08f2a50c1c8190b167334fce4121cc completed May 16, 2026, 10:41 p.m.
Created at: April 16, 2026, 12:36 p.m.