Triple
T57879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson |
E1145
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Samuel Nelson
Samuel Nelson was an American lawyer and jurist who served as an Associate Justice of the U.S. Supreme Court from 1845 to 1872.
|
E50131
|
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: Samuel Nelson | Statement: [Nelson, hasNotableBearer, Samuel Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Nelson Context triple: [Nelson, hasNotableBearer, Samuel Nelson]
-
A.
Samuel Gray
Samuel Gray was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel American revolutionary sentiment.
-
B.
Jeremiah Sullivan Black
Jeremiah Sullivan Black was a prominent 19th-century American lawyer, judge, and U.S. Attorney General who served under President James Buchanan.
-
C.
Benjamin Rein Brady
Benjamin Rein Brady is the son of legendary NFL quarterback Tom Brady and his ex-partner, actress and model Bridget Moynahan.
-
D.
Matthew Sands
Matthew Sands was an American physicist and educator best known as one of the co-authors of the influential textbook series "The Feynman Lectures on Physics."
-
E.
James Clark
James Clark is a notable figure in the web and technology community recognized for his significant contributions to open standards and digital publishing.
- 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: Samuel Nelson Triple: [Nelson, hasNotableBearer, Samuel Nelson]
Generated description
Samuel Nelson was an American lawyer and jurist who served as an Associate Justice of the U.S. Supreme Court from 1845 to 1872.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Nelson Target entity description: Samuel Nelson was an American lawyer and jurist who served as an Associate Justice of the U.S. Supreme Court from 1845 to 1872.
-
A.
Samuel Gray
Samuel Gray was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel American revolutionary sentiment.
-
B.
Jeremiah Sullivan Black
Jeremiah Sullivan Black was a prominent 19th-century American lawyer, judge, and U.S. Attorney General who served under President James Buchanan.
-
C.
Benjamin Rein Brady
Benjamin Rein Brady is the son of legendary NFL quarterback Tom Brady and his ex-partner, actress and model Bridget Moynahan.
-
D.
Matthew Sands
Matthew Sands was an American physicist and educator best known as one of the co-authors of the influential textbook series "The Feynman Lectures on Physics."
-
E.
James Clark
James Clark is a notable figure in the web and technology community recognized for his significant contributions to open standards and digital publishing.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b1bf2c081908f20e13939b713ff |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a40acd14dc8190a9ab1a5e826a283a |
completed | March 1, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69a40b36392c8190a771f3d6f9e97fc1 |
completed | March 1, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40b8d85048190807a1af077e6431f |
completed | March 1, 2026, 9:49 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.