Triple

T11630887
Position Surface form Disambiguated ID Type / Status
Subject Bernhard Scholz E276392 entity
Predicate affiliation P10 FINISHED
Object School of Computer Science, University of Sydney
The School of Computer Science at the University of Sydney is a leading academic department focused on research and education in computer science and related disciplines within one of Australia’s top universities.
E938556 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 Computer Science, University of Sydney | Statement: [Bernhard Scholz, affiliation, School of Computer Science, University of Sydney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Computer Science, University of Sydney
Context triple: [Bernhard Scholz, affiliation, School of Computer Science, University of Sydney]
  • A. School of Computer Science, University of St Andrews
    The School of Computer Science at the University of St Andrews is a leading UK academic department known for research and teaching in areas such as artificial intelligence, human-computer interaction, and software engineering.
  • B. School of Computer Science
    The School of Computer Science at Northwestern Polytechnical University is an academic unit specializing in computer science education and research within the university’s engineering and technology-focused framework.
  • C. School of Computer Science
    The School of Computer Science is a leading academic unit of Reykjavík University specializing in education and research in computer science and related fields.
  • D. School of Computer Science
    The School of Computer Science at Chongqing University is an academic unit specializing in education and research in computer science and related technologies within the university.
  • E. School of Computer Science
    The School of Computer Science at the University of Nottingham is an academic department focused on teaching and research in computing, software, and information technologies within the Faculty of Science.
  • 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 Computer Science, University of Sydney
Triple: [Bernhard Scholz, affiliation, School of Computer Science, University of Sydney]
Generated description
The School of Computer Science at the University of Sydney is a leading academic department focused on research and education in computer science and related disciplines within one of Australia’s top universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Computer Science, University of Sydney
Target entity description: The School of Computer Science at the University of Sydney is a leading academic department focused on research and education in computer science and related disciplines within one of Australia’s top universities.
  • A. School of Computer Science, University of St Andrews
    The School of Computer Science at the University of St Andrews is a leading UK academic department known for research and teaching in areas such as artificial intelligence, human-computer interaction, and software engineering.
  • B. School of Computer Science
    The School of Computer Science at Northwestern Polytechnical University is an academic unit specializing in computer science education and research within the university’s engineering and technology-focused framework.
  • C. School of Computer Science
    The School of Computer Science is a leading academic unit of Reykjavík University specializing in education and research in computer science and related fields.
  • D. School of Computer Science
    The School of Computer Science at Chongqing University is an academic unit specializing in education and research in computer science and related technologies within the university.
  • E. School of Computer Science
    The School of Computer Science at the University of Nottingham is an academic department focused on teaching and research in computing, software, and information technologies within the Faculty of Science.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87a20af481909b47775c7cb6ec3b completed April 26, 2026, 9:46 p.m.
NEDg Description generation batch_69eeb3137f4c8190ba8ac48b2cb419b4 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9845bec81909f0f9b005f75249a completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.