Triple

T10155789
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Humanities and Social Sciences, Queen Mary University of London E232772 entity
Predicate hasSubUnit P35 FINISHED
Object School of Business and Management, Queen Mary University of London
The School of Business and Management at Queen Mary University of London is an academic department offering undergraduate and postgraduate education and research in business, management, and related social science disciplines.
E843970 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: School of Business and Management, Queen Mary University of London | Statement: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Business and Management, Queen Mary University of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Business and Management, Queen Mary University of London
Context triple: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Business and Management, Queen Mary University of London]
  • A. Imperial College Business School
    Imperial College Business School is the graduate business school of Imperial College London, specializing in management, finance, and innovation with a strong focus on technology and entrepreneurship.
  • B. Bayes Business School
    Bayes Business School is a leading London-based business school known for its finance, management, and actuarial science programs as part of City, University of London.
  • C. Queen’s Management School
    Queen’s Management School is the business and management faculty of Queen’s University Belfast, offering education and research in areas such as accounting, finance, economics, and management.
  • D. London Business School
    London Business School is a leading global business school based in London, renowned for its MBA and executive education programs and strong international student body.
  • E. Southampton Business School
    Southampton Business School is the University of Southampton’s dedicated faculty for business, management, and economics education and research.
  • 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: School of Business and Management, Queen Mary University of London
Triple: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Business and Management, Queen Mary University of London]
Generated description
The School of Business and Management at Queen Mary University of London is an academic department offering undergraduate and postgraduate education and research in business, management, and related social science disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Business and Management, Queen Mary University of London
Target entity description: The School of Business and Management at Queen Mary University of London is an academic department offering undergraduate and postgraduate education and research in business, management, and related social science disciplines.
  • A. Imperial College Business School
    Imperial College Business School is the graduate business school of Imperial College London, specializing in management, finance, and innovation with a strong focus on technology and entrepreneurship.
  • B. Bayes Business School
    Bayes Business School is a leading London-based business school known for its finance, management, and actuarial science programs as part of City, University of London.
  • C. Queen’s Management School
    Queen’s Management School is the business and management faculty of Queen’s University Belfast, offering education and research in areas such as accounting, finance, economics, and management.
  • D. London Business School
    London Business School is a leading global business school based in London, renowned for its MBA and executive education programs and strong international student body.
  • E. Southampton Business School
    Southampton Business School is the University of Southampton’s dedicated faculty for business, management, and economics education and research.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3a5e7c819098b2f9ccbde7cf94 completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e65b9d4c8190b1f520ed08256372 completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e82a49e08190918e85d8b8b2e5c6 completed April 5, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8a37b388190a0d79d61573cf06d completed April 5, 2026, 10:56 p.m.
Created at: March 30, 2026, 9:09 p.m.