Triple

T13209765
Position Surface form Disambiguated ID Type / Status
Subject John Randall E314457 entity
Predicate affiliation P10 FINISHED
Object Biophysics Research Unit, King's College London
The Biophysics Research Unit at King's College London was a pioneering mid-20th-century laboratory renowned for its crucial contributions to molecular biology, including work that led to the discovery of the DNA double-helix structure.
E1027480 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: Biophysics Research Unit, King's College London | Statement: [John Randall, affiliation, Biophysics Research Unit, King's College London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biophysics Research Unit, King's College London
Context triple: [John Randall, affiliation, Biophysics Research Unit, King's College London]
  • A. UCL Laboratory for Molecular Cell Biology
    UCL Laboratory for Molecular Cell Biology is a research and teaching institute at University College London focused on understanding cellular and molecular mechanisms underlying health and disease.
  • B. UCL Wolfson Institute for Biomedical Research
    The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
  • C. UCL Institute of Structural and Molecular Biology
    The UCL Institute of Structural and Molecular Biology is a research and teaching institute specializing in understanding biological processes at the molecular and atomic levels through structural and molecular biology approaches.
  • D. UCL Division of Biosciences
    UCL Division of Biosciences is a major academic department at University College London focused on research and teaching across the biological and life sciences.
  • E. Department of Bioengineering, Imperial College London
    The Department of Bioengineering at Imperial College London is a leading academic and research department that integrates engineering principles with biological and medical sciences to develop innovative healthcare and biotechnology solutions.
  • 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: Biophysics Research Unit, King's College London
Triple: [John Randall, affiliation, Biophysics Research Unit, King's College London]
Generated description
The Biophysics Research Unit at King's College London was a pioneering mid-20th-century laboratory renowned for its crucial contributions to molecular biology, including work that led to the discovery of the DNA double-helix structure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biophysics Research Unit, King's College London
Target entity description: The Biophysics Research Unit at King's College London was a pioneering mid-20th-century laboratory renowned for its crucial contributions to molecular biology, including work that led to the discovery of the DNA double-helix structure.
  • A. UCL Laboratory for Molecular Cell Biology
    UCL Laboratory for Molecular Cell Biology is a research and teaching institute at University College London focused on understanding cellular and molecular mechanisms underlying health and disease.
  • B. UCL Wolfson Institute for Biomedical Research
    The UCL Wolfson Institute for Biomedical Research is a leading research institute at University College London focused on advancing understanding of human disease and translating basic biomedical discoveries into new therapies.
  • C. UCL Institute of Structural and Molecular Biology
    The UCL Institute of Structural and Molecular Biology is a research and teaching institute specializing in understanding biological processes at the molecular and atomic levels through structural and molecular biology approaches.
  • D. UCL Division of Biosciences
    UCL Division of Biosciences is a major academic department at University College London focused on research and teaching across the biological and life sciences.
  • E. Department of Bioengineering, Imperial College London
    The Department of Bioengineering at Imperial College London is a leading academic and research department that integrates engineering principles with biological and medical sciences to develop innovative healthcare and biotechnology solutions.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9e072c8190b66e2c2430628ed0 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f79703588190ba088971da54340f completed May 3, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:17 p.m.