Triple

T13586508
Position Surface form Disambiguated ID Type / Status
Subject Henley Business School E324579 entity
Predicate offersDegree P49 FINISHED
Object DBA
The DBA (Doctor of Business Administration) is a professional doctoral degree focused on advanced business research and practice for experienced managers and executives.
 E1049149 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: DBA | Statement: [Henley Business School, offersDegree, DBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DBA
Context triple: [Henley Business School, offersDegree, DBA]
  • A. DBA
    DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
  • B. DBA
    DBA is the three-letter IATA airport code assigned to Dalbandin Airport in Pakistan.
  • C. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • D. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • E. DB
    DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
  • 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: DBA
Triple: [Henley Business School, offersDegree, DBA]
Generated description
The DBA (Doctor of Business Administration) is a professional doctoral degree focused on advanced business research and practice for experienced managers and executives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DBA
Target entity description: The DBA (Doctor of Business Administration) is a professional doctoral degree focused on advanced business research and practice for experienced managers and executives.
  • A. DBA
    DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
  • B. DBA
    DBA is the three-letter IATA airport code assigned to Dalbandin Airport in Pakistan.
  • C. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • D. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • E. DB
    DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb054c6008190839384ce26e8f71a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc148d08190821614a866d1a7f0 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77642e4b881909915c686a0d6c6fa completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7792110e48190a29b6e89c6ebcc03 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.