Triple
T3342947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hodgkin |
E70299
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ian Hodgkin
Ian Hodgkin is a person notable enough to be recognized as a bearer of the Hodgkin surname.
|
E357847
|
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: Ian Hodgkin | Statement: [Hodgkin, hasNotableBearer, Ian Hodgkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Hodgkin Context triple: [Hodgkin, hasNotableBearer, Ian Hodgkin]
-
A.
Neville Hodgkin
Neville Hodgkin is a person notable for bearing the surname Hodgkin, which is associated with several distinguished figures in science and medicine.
-
B.
Nicholas Hodgkin
Nicholas Hodgkin is a British mathematician known for his contributions to differential equations and mathematical analysis.
-
C.
Alan Hodgkin
Alan Hodgkin was a British physiologist and Nobel laureate renowned for his pioneering work on the ionic mechanisms of nerve cell membranes and the generation of nerve impulses.
-
D.
R. A. Hodgkin
R. A. Hodgkin was a British mathematician known for contributions to algebra and topology, particularly in homological algebra and K-theory.
-
E.
Paul Greengard
Paul Greengard was an American neuroscientist and Nobel Prize laureate renowned for his pioneering research on how neurons communicate via chemical signals in the brain.
- 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: Ian Hodgkin Triple: [Hodgkin, hasNotableBearer, Ian Hodgkin]
Generated description
Ian Hodgkin is a person notable enough to be recognized as a bearer of the Hodgkin surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ian Hodgkin Target entity description: Ian Hodgkin is a person notable enough to be recognized as a bearer of the Hodgkin surname.
-
A.
Neville Hodgkin
Neville Hodgkin is a person notable for bearing the surname Hodgkin, which is associated with several distinguished figures in science and medicine.
-
B.
Nicholas Hodgkin
Nicholas Hodgkin is a British mathematician known for his contributions to differential equations and mathematical analysis.
-
C.
Alan Hodgkin
Alan Hodgkin was a British physiologist and Nobel laureate renowned for his pioneering work on the ionic mechanisms of nerve cell membranes and the generation of nerve impulses.
-
D.
R. A. Hodgkin
R. A. Hodgkin was a British mathematician known for contributions to algebra and topology, particularly in homological algebra and K-theory.
-
E.
Paul Greengard
Paul Greengard was an American neuroscientist and Nobel Prize laureate renowned for his pioneering research on how neurons communicate via chemical signals in the brain.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f06f8c8190a6b7c56ac3f5ff07 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3545cd3508190b3bb81de6feae66e |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b35519b7f08190b1ea7514036c3453 |
completed | March 13, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b358fba2208190bc66d5f7d0009ba4 |
completed | March 13, 2026, 12:23 a.m. |
Created at: March 8, 2026, 3:12 p.m.