Triple
T10738639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Männerpension |
E253260
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Wigald Boning
Wigald Boning is a German comedian, actor, and television presenter known for his work in sketch comedy, film, and various entertainment shows.
|
E883199
|
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: Wigald Boning | Statement: [Männerpension, hasCastMember, Wigald Boning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wigald Boning Context triple: [Männerpension, hasCastMember, Wigald Boning]
-
A.
Ragnar Zolberg
Ragnar Zolberg is an Icelandic musician and singer-songwriter best known as a former guitarist and vocalist for the progressive metal band Pain of Salvation.
-
B.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
-
C.
Carl Bonde
Carl Bonde was a prominent 17th-century Swedish statesman and nobleman who played a key role in the kingdom’s financial and political administration.
-
D.
Harald Grenske
Harald Grenske was a 10th-century Norwegian petty king of Vestfold and father of Saint Olaf II, who later became king and patron saint of Norway.
-
E.
Bjorn Liencres
Bjorn Liencres is a technology entrepreneur best known as a co-founder of the networking company Juniper Networks.
- 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: Wigald Boning Triple: [Männerpension, hasCastMember, Wigald Boning]
Generated description
Wigald Boning is a German comedian, actor, and television presenter known for his work in sketch comedy, film, and various entertainment shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wigald Boning Target entity description: Wigald Boning is a German comedian, actor, and television presenter known for his work in sketch comedy, film, and various entertainment shows.
-
A.
Ragnar Zolberg
Ragnar Zolberg is an Icelandic musician and singer-songwriter best known as a former guitarist and vocalist for the progressive metal band Pain of Salvation.
-
B.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
-
C.
Carl Bonde
Carl Bonde was a prominent 17th-century Swedish statesman and nobleman who played a key role in the kingdom’s financial and political administration.
-
D.
Harald Grenske
Harald Grenske was a 10th-century Norwegian petty king of Vestfold and father of Saint Olaf II, who later became king and patron saint of Norway.
-
E.
Bjorn Liencres
Bjorn Liencres is a technology entrepreneur best known as a co-founder of the networking company Juniper Networks.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710424d8c81908ee9b59d622f2af5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22ed6edc8190beb76bd2971c7cec |
completed | April 14, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69de25d25474819081402b75ef7492f6 |
completed | April 14, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2808244c8190bdb2d4d49f30e0d7 |
completed | April 14, 2026, 11:42 a.m. |
Created at: April 8, 2026, 9:14 p.m.