Triple

T8957822
Position Surface form Disambiguated ID Type / Status
Subject Peter Mathieson E213519 entity
Predicate positionHeld P8 FINISHED
Object President and Vice-Chancellor of the University of Hong Kong
The President and Vice-Chancellor of the University of Hong Kong is the chief executive and academic head responsible for leading the institution’s strategic direction, administration, and academic development.
E769689 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: President and Vice-Chancellor of the University of Hong Kong | Statement: [Peter Mathieson, positionHeld, President and Vice-Chancellor of the University of Hong Kong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: President and Vice-Chancellor of the University of Hong Kong
Context triple: [Peter Mathieson, positionHeld, President and Vice-Chancellor of the University of Hong Kong]
  • A. Vice-Chancellor of the University of London
    The Vice-Chancellor of the University of London is the chief academic and administrative officer responsible for leading and representing the federal university and coordinating its constituent colleges.
  • B. Chancellor of the University of London
    The Chancellor of the University of London is the ceremonial head of the federal University of London, representing the institution at official events and supporting its academic and public missions.
  • C. Vice-Chancellor of the University of Sussex
    The Vice-Chancellor of the University of Sussex is the institution’s chief executive and academic leader, responsible for its strategic direction, management, and day-to-day operations.
  • D. Chief Executive of Hong Kong
    The Chief Executive of Hong Kong is the head of the Hong Kong Special Administrative Region’s government, responsible for leading the administration and implementing policies under the “one country, two systems” framework.
  • E. Vice-Chancellor of the University of Sydney
    The Vice-Chancellor of the University of Sydney is the chief executive and principal academic officer responsible for the university’s overall leadership, management, and strategic direction.
  • 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: President and Vice-Chancellor of the University of Hong Kong
Triple: [Peter Mathieson, positionHeld, President and Vice-Chancellor of the University of Hong Kong]
Generated description
The President and Vice-Chancellor of the University of Hong Kong is the chief executive and academic head responsible for leading the institution’s strategic direction, administration, and academic development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: President and Vice-Chancellor of the University of Hong Kong
Target entity description: The President and Vice-Chancellor of the University of Hong Kong is the chief executive and academic head responsible for leading the institution’s strategic direction, administration, and academic development.
  • A. Vice-Chancellor of the University of London
    The Vice-Chancellor of the University of London is the chief academic and administrative officer responsible for leading and representing the federal university and coordinating its constituent colleges.
  • B. Chancellor of the University of London
    The Chancellor of the University of London is the ceremonial head of the federal University of London, representing the institution at official events and supporting its academic and public missions.
  • C. Vice-Chancellor of the University of Sussex
    The Vice-Chancellor of the University of Sussex is the institution’s chief executive and academic leader, responsible for its strategic direction, management, and day-to-day operations.
  • D. Chief Executive of Hong Kong
    The Chief Executive of Hong Kong is the head of the Hong Kong Special Administrative Region’s government, responsible for leading the administration and implementing policies under the “one country, two systems” framework.
  • E. Vice-Chancellor of the University of Sydney
    The Vice-Chancellor of the University of Sydney is the chief executive and principal academic officer responsible for the university’s overall leadership, management, and strategic direction.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6729ab7c8190a6168f0aa70a5520 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9430a8c819096e0df38c107d1bd completed April 3, 2026, 2:05 p.m.
NEDg Description generation batch_69cfcaabe06481908e4a1a20dc16906e completed April 3, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_69cfcb5d2be48190847967325f4c8f03 completed April 3, 2026, 2:14 p.m.
Created at: March 30, 2026, 7 p.m.