Triple
T12348285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg L. Bahnsen |
E294414
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bahnsen
Bahnsen is a surname most notably associated with Greg L. Bahnsen, an American Christian philosopher and theologian known for his work in presuppositional apologetics.
|
E977234
|
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: Bahnsen | Statement: [Greg L. Bahnsen, familyName, Bahnsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahnsen Context triple: [Greg L. Bahnsen, familyName, Bahnsen]
-
A.
Löwith
Löwith is the surname of Karl Löwith, a prominent 20th-century German philosopher known for his work on the philosophy of history and critiques of modernity.
-
B.
Sproul
Sproul is a Scottish-origin surname borne by various notable individuals, including theologian R. C. Sproul.
-
C.
Reinhold
Reinhold is the given first name of Reince Priebus, the American attorney and former White House Chief of Staff under President Donald Trump.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Christian Tychsen
Christian Tychsen was a high-ranking Waffen-SS officer and tank commander during World War II who briefly led the 2nd SS Panzer Division "Das Reich."
- 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: Bahnsen Triple: [Greg L. Bahnsen, familyName, Bahnsen]
Generated description
Bahnsen is a surname most notably associated with Greg L. Bahnsen, an American Christian philosopher and theologian known for his work in presuppositional apologetics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bahnsen Target entity description: Bahnsen is a surname most notably associated with Greg L. Bahnsen, an American Christian philosopher and theologian known for his work in presuppositional apologetics.
-
A.
Löwith
Löwith is the surname of Karl Löwith, a prominent 20th-century German philosopher known for his work on the philosophy of history and critiques of modernity.
-
B.
Sproul
Sproul is a Scottish-origin surname borne by various notable individuals, including theologian R. C. Sproul.
-
C.
Reinhold
Reinhold is the given first name of Reince Priebus, the American attorney and former White House Chief of Staff under President Donald Trump.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Christian Tychsen
Christian Tychsen was a high-ranking Waffen-SS officer and tank commander during World War II who briefly led the 2nd SS Panzer Division "Das Reich."
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.