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.