Triple
T6753828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell College |
E154402
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object |
Jonathan Brand
Jonathan Brand is an American academic administrator and lawyer who serves as the president of Cornell College in Mount Vernon, Iowa.
|
E621248
|
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: Jonathan Brand | Statement: [Cornell College, president, Jonathan Brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Brand Context triple: [Cornell College, president, Jonathan Brand]
-
A.
Joe Brandt
Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
-
B.
Mark Brandenburg
Mark Brandenburg is a historic region in northeastern Germany that formed the core of the medieval Margraviate of Brandenburg and later became central to the rise of Prussia.
-
C.
Joshua Brand
Joshua Brand is an American television writer and producer best known for co-creating acclaimed series such as *St. Elsewhere* and *Northern Exposure*.
-
D.
Michael Bradsell
Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
-
E.
Michael Bradsell
Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
- 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: Jonathan Brand Triple: [Cornell College, president, Jonathan Brand]
Generated description
Jonathan Brand is an American academic administrator and lawyer who serves as the president of Cornell College in Mount Vernon, Iowa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Brand Target entity description: Jonathan Brand is an American academic administrator and lawyer who serves as the president of Cornell College in Mount Vernon, Iowa.
-
A.
Joe Brandt
Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
-
B.
Mark Brandenburg
Mark Brandenburg is a historic region in northeastern Germany that formed the core of the medieval Margraviate of Brandenburg and later became central to the rise of Prussia.
-
C.
Joshua Brand
Joshua Brand is an American television writer and producer best known for co-creating acclaimed series such as *St. Elsewhere* and *Northern Exposure*.
-
D.
Michael Bradsell
Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
-
E.
Michael Bradsell
Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f32fa08190bb23dc24fef14c8d |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723c3eb4881909c9c8d1258f461d9 |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c7249209b88190a50fa7b96dd88b10 |
completed | March 28, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7250865808190a1d20e8fe6f9de49 |
completed | March 28, 2026, 12:47 a.m. |
Created at: March 27, 2026, 2:11 p.m.