Triple
T4161063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg Büchner Prize |
E91534
|
entity |
| Predicate | hasAwarded |
P2391
|
FINISHED |
| Object |
Jan Wagner
Jan Wagner is a contemporary German poet and essayist renowned for his finely crafted, image-rich verse and significant contributions to modern German-language literature.
|
E417020
|
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: Jan Wagner | Statement: [Georg Büchner Prize, hasAwarded, Jan Wagner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Wagner Context triple: [Georg Büchner Prize, hasAwarded, Jan Wagner]
-
A.
Danny Wagner
Danny Wagner is the drummer for the American rock band Greta Van Fleet.
-
B.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
C.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
D.
Christopher Scholz
Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
-
E.
Christian Weiss
Christian Weiss is a relatively obscure individual whose specific public notability is not clearly established from the given information.
- 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: Jan Wagner Triple: [Georg Büchner Prize, hasAwarded, Jan Wagner]
Generated description
Jan Wagner is a contemporary German poet and essayist renowned for his finely crafted, image-rich verse and significant contributions to modern German-language literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Wagner Target entity description: Jan Wagner is a contemporary German poet and essayist renowned for his finely crafted, image-rich verse and significant contributions to modern German-language literature.
-
A.
Danny Wagner
Danny Wagner is the drummer for the American rock band Greta Van Fleet.
-
B.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
C.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
D.
Christopher Scholz
Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
-
E.
Christian Weiss
Christian Weiss is a relatively obscure individual whose specific public notability is not clearly established from the given information.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f42f2cc8190ae10ea12273c930a |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b5800a12e48190b184373464930b1e |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580af3eb88190a89d5827e32293c1 |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.