Triple
T1924553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRC LMB |
E40798
|
entity |
| Predicate | notableScientist |
P602
|
FINISHED |
| Object |
Greg Winter
Greg Winter is a British molecular biologist and Nobel laureate renowned for pioneering techniques in antibody engineering and the development of therapeutic monoclonal antibodies.
|
E214994
|
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: Greg Winter | Statement: [MRC LMB, notableScientist, Greg Winter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Winter Context triple: [MRC LMB, notableScientist, Greg Winter]
-
A.
Ken Morris
Ken Morris is a technology entrepreneur best known as a founder of the enterprise software company PeopleSoft.
-
B.
Fred Mitchell
Fred Mitchell was an early 20th-century Major League Baseball manager best known for leading the Chicago Cubs during their 1918 pennant-winning season.
-
C.
Marc Arnold
Marc Arnold is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Arnold.
-
D.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
E.
David St. John
David St. John is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
- 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: Greg Winter Triple: [MRC LMB, notableScientist, Greg Winter]
Generated description
Greg Winter is a British molecular biologist and Nobel laureate renowned for pioneering techniques in antibody engineering and the development of therapeutic monoclonal antibodies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Winter Target entity description: Greg Winter is a British molecular biologist and Nobel laureate renowned for pioneering techniques in antibody engineering and the development of therapeutic monoclonal antibodies.
-
A.
Ken Morris
Ken Morris is a technology entrepreneur best known as a founder of the enterprise software company PeopleSoft.
-
B.
Fred Mitchell
Fred Mitchell was an early 20th-century Major League Baseball manager best known for leading the Chicago Cubs during their 1918 pennant-winning season.
-
C.
Marc Arnold
Marc Arnold is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Arnold.
-
D.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
E.
David St. John
David St. John is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2359ca0819082b514a34c469b21 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e6678881908d72de7e0f19a648 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf472aca881908d99cf5bfcae3094 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf50d93c88190aa1cbf96526558b6 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.