Triple
T10095974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Denison Maurice |
E215867
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Denison
Denison is a given name most notably borne by the influential 19th-century English theologian and Christian socialist Frederick Denison Maurice.
|
E841330
|
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: Denison | Statement: [Frederick Denison Maurice, givenName, Denison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denison Context triple: [Frederick Denison Maurice, givenName, Denison]
-
A.
Denison
Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
-
B.
Denison University
Denison University is a private liberal arts college in Granville, Ohio, known for its strong undergraduate programs and vibrant residential campus life.
-
C.
Shattuck
Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
-
D.
Creighton
Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
-
E.
Averett
Averett is a given name most notably associated with American science fiction and fantasy author Michael Averett Lowell, better known as Michael A. Stackpole.
- 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: Denison Triple: [Frederick Denison Maurice, givenName, Denison]
Generated description
Denison is a given name most notably borne by the influential 19th-century English theologian and Christian socialist Frederick Denison Maurice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denison Target entity description: Denison is a given name most notably borne by the influential 19th-century English theologian and Christian socialist Frederick Denison Maurice.
-
A.
Denison
Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
-
B.
Denison University
Denison University is a private liberal arts college in Granville, Ohio, known for its strong undergraduate programs and vibrant residential campus life.
-
C.
Shattuck
Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
-
D.
Creighton
Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
-
E.
Averett
Averett is a given name most notably associated with American science fiction and fantasy author Michael Averett Lowell, better known as Michael A. Stackpole.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0798c248190af675e30e280daa8 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6b8d604819094db099981219e72 |
completed | April 5, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_69d2b8a728bc8190b9baf93a40c00642 |
completed | April 5, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b90a1de88190b7c8cf6356ffc376 |
completed | April 5, 2026, 7:33 p.m. |
Created at: March 30, 2026, 9:02 p.m.