Triple
T3516648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. Robert Kehler |
E74323
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kehler
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
|
E365032
|
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: Kehler | Statement: [C. Robert Kehler, familyName, Kehler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kehler Context triple: [C. Robert Kehler, familyName, Kehler]
-
A.
Kehrl
Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
-
B.
Kerzers
Kerzers is a municipality in the canton of Fribourg in western Switzerland, known for its bilingual character and proximity to the Papiliorama butterfly and tropical gardens.
-
C.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
-
D.
Kahle
Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
-
E.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
- 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: Kehler Triple: [C. Robert Kehler, familyName, Kehler]
Generated description
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kehler Target entity description: Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
-
A.
Kehrl
Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
-
B.
Kerzers
Kerzers is a municipality in the canton of Fribourg in western Switzerland, known for its bilingual character and proximity to the Papiliorama butterfly and tropical gardens.
-
C.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
-
D.
Kahle
Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
-
E.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc31c0688190a890621a901f5f5f |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e7da9c08190ab417b45339513bd |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37f61b4a88190b36ada98f063edcf |
completed | March 13, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37fbec2ec81909228716c70ffa2bd |
completed | March 13, 2026, 3:08 a.m. |
Created at: March 8, 2026, 3:19 p.m.