Triple
T12408477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederic Ives Medal |
E296449
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Nicholas George
Nicholas George is a distinguished optical scientist recognized for his influential contributions to imaging and information optics.
|
E985959
|
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: Nicholas George | Statement: [Frederic Ives Medal, notableRecipient, Nicholas George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas George Context triple: [Frederic Ives Medal, notableRecipient, Nicholas George]
-
A.
Nicholas Fry
Nicholas Fry is a person notable enough to be recognized as a bearer of the surname Fry, though specific widely known public details about him are not clearly established.
-
B.
Nicholas Luard
Nicholas Luard was a British writer, satirist, and entrepreneur best known for co-founding the influential 1960s London satire venue The Establishment Club.
-
C.
Nicholas Hughes
Nicholas Hughes was the son of poets Sylvia Plath and Ted Hughes, who became a respected fisheries biologist before his tragic death in 2009.
-
D.
Nicholas Martin
Nicholas Martin is a British screenwriter and playwright best known for writing the film "Florence Foster Jenkins."
-
E.
Nicholas Jones
Nicholas Jones is a British actor known for his extensive work in film, television, and theatre.
- 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: Nicholas George Triple: [Frederic Ives Medal, notableRecipient, Nicholas George]
Generated description
Nicholas George is a distinguished optical scientist recognized for his influential contributions to imaging and information optics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas George Target entity description: Nicholas George is a distinguished optical scientist recognized for his influential contributions to imaging and information optics.
-
A.
Nicholas Fry
Nicholas Fry is a person notable enough to be recognized as a bearer of the surname Fry, though specific widely known public details about him are not clearly established.
-
B.
Nicholas Luard
Nicholas Luard was a British writer, satirist, and entrepreneur best known for co-founding the influential 1960s London satire venue The Establishment Club.
-
C.
Nicholas Hughes
Nicholas Hughes was the son of poets Sylvia Plath and Ted Hughes, who became a respected fisheries biologist before his tragic death in 2009.
-
D.
Nicholas Martin
Nicholas Martin is a British screenwriter and playwright best known for writing the film "Florence Foster Jenkins."
-
E.
Nicholas Jones
Nicholas Jones is a British actor known for his extensive work in film, television, and theatre.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4a08e0819085c656e35038e6b2 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b962d1c81909c2119890d921648 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7c5d04819094fcbee0a4b5cbb4 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:55 p.m.