Triple
T21219140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonhard Hutter |
E522918
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hutter
Hutter is a German surname most notably associated with the Lutheran theologian Leonhard Hutter.
|
E1471332
|
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: Hutter | Statement: [Leonhard Hutter, familyName, Hutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hutter Context triple: [Leonhard Hutter, familyName, Hutter]
-
A.
Hunnicutt
Hunnicutt is an English-language surname borne by various notable individuals in fields such as entertainment, sports, and academia.
-
B.
Stavenhagen
Stavenhagen is a small town in northeastern Germany known for its historical architecture and its association with the writer Fritz Reuter.
-
C.
Hirschstein
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
-
D.
Neuhäusgen
Neuhäusgen is a small village in the commune of Schuttrange in central Luxembourg.
-
E.
Horsterwold
Horsterwold is one of the largest continuous deciduous forests in the Netherlands, known for its rich wildlife and extensive network of walking and cycling trails.
- 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: Hutter Triple: [Leonhard Hutter, familyName, Hutter]
Generated description
Hutter is a German surname most notably associated with the Lutheran theologian Leonhard Hutter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hutter Target entity description: Hutter is a German surname most notably associated with the Lutheran theologian Leonhard Hutter.
-
A.
Hunnicutt
Hunnicutt is an English-language surname borne by various notable individuals in fields such as entertainment, sports, and academia.
-
B.
Stavenhagen
Stavenhagen is a small town in northeastern Germany known for its historical architecture and its association with the writer Fritz Reuter.
-
C.
Hirschstein
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
-
D.
Neuhäusgen
Neuhäusgen is a small village in the commune of Schuttrange in central Luxembourg.
-
E.
Horsterwold
Horsterwold is one of the largest continuous deciduous forests in the Netherlands, known for its rich wildlife and extensive network of walking and cycling trails.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73476d93481909c6c99dcc0b16123 |
completed | April 21, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097edb6de4819094cf7a50670afdfa |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a097f5016348190aeb01856a5c57b41 |
completed | May 17, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a097fe399048190a1b29f16d8e46d8d |
completed | May 17, 2026, 8:44 a.m. |
Created at: April 16, 2026, 3:42 p.m.