Triple
T14167189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borchers |
E351110
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brian Borchers
Brian Borchers is an American mathematician known for his work in optimization and operations research.
|
E1249266
|
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: Brian Borchers | Statement: [Borchers, hasNotableBearer, Brian Borchers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Borchers Context triple: [Borchers, hasNotableBearer, Brian Borchers]
-
A.
Michael E. Bakich
Michael E. Bakich is an American astronomy writer, editor, and popularizer of observational astronomy, long associated with Astronomy magazine.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Chris Chesser
Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
-
D.
John Boettiger
John Boettiger was an American journalist and newspaper publisher best known as the second husband of Anna Roosevelt, daughter of President Franklin D. Roosevelt.
-
E.
Brian L. Hinman
Brian L. Hinman is an American technology entrepreneur and executive best known for co-founding multiple communications companies, including Polycom, and pioneering advances in voice and video conferencing.
- 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: Brian Borchers Triple: [Borchers, hasNotableBearer, Brian Borchers]
Generated description
Brian Borchers is an American mathematician known for his work in optimization and operations research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Borchers Target entity description: Brian Borchers is an American mathematician known for his work in optimization and operations research.
-
A.
Michael E. Bakich
Michael E. Bakich is an American astronomy writer, editor, and popularizer of observational astronomy, long associated with Astronomy magazine.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Chris Chesser
Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
-
D.
John Boettiger
John Boettiger was an American journalist and newspaper publisher best known as the second husband of Anna Roosevelt, daughter of President Franklin D. Roosevelt.
-
E.
Brian L. Hinman
Brian L. Hinman is an American technology entrepreneur and executive best known for co-founding multiple communications companies, including Polycom, and pioneering advances in voice and video conferencing.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ec19c508190912c3fe186f8a992 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01313d46908190a8e6df35a4bcf7e8 |
completed | May 11, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013198d2d08190b593694809ac2ad6 |
completed | May 11, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1 a.m.