Triple
T20324184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoehne, Colorado |
E492288
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
William Hoehne
William Hoehne was a local figure of historical significance in Colorado, likely an early settler or community leader after whom the town of Hoehne was named.
|
E1506125
|
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: William Hoehne | Statement: [Hoehne, Colorado, namedAfter, William Hoehne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Hoehne Context triple: [Hoehne, Colorado, namedAfter, William Hoehne]
-
A.
Henry Teuscher
Henry Teuscher was a landscape architect and horticulturist best known for designing and shaping the renowned Montreal Botanical Garden.
-
B.
William Hahn
William Hahn was a 19th-century German-American painter known for his detailed genre scenes and landscapes, particularly of California.
-
C.
Joseph Taugwalder
Joseph Taugwalder was a 19th-century Swiss mountain guide from Zermatt, known for his involvement in early ascents of major Alpine peaks.
-
D.
John Heydler
John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
-
E.
William Wiegand
William Wiegand was an American writer and critic known for his contributions to mid-20th-century literary culture.
- 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: William Hoehne Triple: [Hoehne, Colorado, namedAfter, William Hoehne]
Generated description
William Hoehne was a local figure of historical significance in Colorado, likely an early settler or community leader after whom the town of Hoehne was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Hoehne Target entity description: William Hoehne was a local figure of historical significance in Colorado, likely an early settler or community leader after whom the town of Hoehne was named.
-
A.
Henry Teuscher
Henry Teuscher was a landscape architect and horticulturist best known for designing and shaping the renowned Montreal Botanical Garden.
-
B.
William Hahn
William Hahn was a 19th-century German-American painter known for his detailed genre scenes and landscapes, particularly of California.
-
C.
Joseph Taugwalder
Joseph Taugwalder was a 19th-century Swiss mountain guide from Zermatt, known for his involvement in early ascents of major Alpine peaks.
-
D.
John Heydler
John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
-
E.
William Wiegand
William Wiegand was an American writer and critic known for his contributions to mid-20th-century literary culture.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778e59508190bfd7a3ce44d56a93 |
completed | April 20, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52875c28819083e888910961856b |
completed | May 17, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a0a53daee588190a091256cdc942bc3 |
completed | May 17, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a54570b8c819089c7811b89478239 |
completed | May 17, 2026, 11:50 p.m. |
Created at: April 16, 2026, 11:21 a.m.