Triple
T13233947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang Huber |
E315093
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kara Huber
Kara Huber is the spouse of German theologian and former bishop Wolfgang Huber.
|
E1040518
|
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: Kara Huber | Statement: [Wolfgang Huber, spouse, Kara Huber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kara Huber Context triple: [Wolfgang Huber, spouse, Kara Huber]
-
A.
Karin Huber
Karin Huber is a person notable enough to be recognized as a significant bearer of the surname Huber.
-
B.
Nicole Kruspe
Nicole Kruspe is a linguist known for her extensive research and documentation of Aslian languages spoken by indigenous communities in the Malay Peninsula.
-
C.
Kari Wuhrer
Kari Wuhrer is an American actress and singer best known for her roles in 1990s television and horror films, including a main cast role on the sci-fi series "Sliders."
-
D.
Erika Grünlich
Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
-
E.
Petra Kronberger
Petra Kronberger is a retired Austrian alpine skier who dominated the early 1990s World Cup circuit, winning multiple overall titles and Olympic gold medals.
- 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: Kara Huber Triple: [Wolfgang Huber, spouse, Kara Huber]
Generated description
Kara Huber is the spouse of German theologian and former bishop Wolfgang Huber.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kara Huber Target entity description: Kara Huber is the spouse of German theologian and former bishop Wolfgang Huber.
-
A.
Karin Huber
Karin Huber is a person notable enough to be recognized as a significant bearer of the surname Huber.
-
B.
Nicole Kruspe
Nicole Kruspe is a linguist known for her extensive research and documentation of Aslian languages spoken by indigenous communities in the Malay Peninsula.
-
C.
Kari Wuhrer
Kari Wuhrer is an American actress and singer best known for her roles in 1990s television and horror films, including a main cast role on the sci-fi series "Sliders."
-
D.
Erika Grünlich
Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
-
E.
Petra Kronberger
Petra Kronberger is a retired Austrian alpine skier who dominated the early 1990s World Cup circuit, winning multiple overall titles and Olympic gold medals.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73973248481909ed29ea68955f447 |
completed | May 3, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69f73b50408c8190a469ecc92b0cc582 |
completed | May 3, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73bdb099c8190a90654709d33ccbf |
completed | May 3, 2026, 12:13 p.m. |
Created at: April 9, 2026, 9:22 p.m.