Triple

T11519194
Position Surface form Disambiguated ID Type / Status
Subject Bamber E273114 entity
Predicate hasNotableBearer P458 FINISHED
Object Jeremy Bamber
Jeremy Bamber is a British man convicted in 1986 of murdering five members of his family in the White House Farm killings, one of the UK’s most notorious criminal cases.
 E929925 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: Jeremy Bamber | Statement: [Bamber, hasNotableBearer, Jeremy Bamber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeremy Bamber
Context triple: [Bamber, hasNotableBearer, Jeremy Bamber]
  • A. Ian Boddy
    Ian Boddy is a Canadian municipal politician who serves as the mayor of Owen Sound, Ontario.
  • B. Freddie Cunliffe
    Freddie Cunliffe is a British actor best known for his role in the 1999 war drama film "The War Zone."
  • C. Mary Bell
    Mary Bell is a British woman who, as a child in 1968, was convicted of the manslaughter of two young boys in a notorious case that has since been widely examined in criminology and true-crime literature.
  • D. Ian Brady
    Ian Brady was a British serial killer, infamously known for the Moors murders he committed with Myra Hindley in the 1960s.
  • E. Myra Hindley
    Myra Hindley was a British serial killer, infamously known for her role in the Moors murders committed with Ian Brady in the 1960s.
  • 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: Jeremy Bamber
Triple: [Bamber, hasNotableBearer, Jeremy Bamber]
Generated description
Jeremy Bamber is a British man convicted in 1986 of murdering five members of his family in the White House Farm killings, one of the UK’s most notorious criminal cases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeremy Bamber
Target entity description: Jeremy Bamber is a British man convicted in 1986 of murdering five members of his family in the White House Farm killings, one of the UK’s most notorious criminal cases.
  • A. Ian Boddy
    Ian Boddy is a Canadian municipal politician who serves as the mayor of Owen Sound, Ontario.
  • B. Freddie Cunliffe
    Freddie Cunliffe is a British actor best known for his role in the 1999 war drama film "The War Zone."
  • C. Mary Bell
    Mary Bell is a British woman who, as a child in 1968, was convicted of the manslaughter of two young boys in a notorious case that has since been widely examined in criminology and true-crime literature.
  • D. Ian Brady
    Ian Brady was a British serial killer, infamously known for the Moors murders he committed with Myra Hindley in the 1960s.
  • E. Myra Hindley
    Myra Hindley was a British serial killer, infamously known for her role in the Moors murders committed with Ian Brady in the 1960s.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62540ff4c81909206db0344842c3b completed April 20, 2026, 1:08 p.m.
NEDg Description generation batch_69e62cf5b9988190bc1935993f0111f7 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e66433ddb48190994bb1160b0ff732 completed April 20, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:36 p.m.