Triple
T20852392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green River (album) |
E513395
|
entity |
| Predicate | coverArtDesigner |
P184
|
FINISHED |
| Object |
Rolf Klep
Rolf Klep was an American illustrator and commercial artist known for his magazine and book cover art in the mid-20th century.
|
E1453687
|
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: Rolf Klep | Statement: [Green River (album), coverArtDesigner, Rolf Klep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolf Klep Context triple: [Green River (album), coverArtDesigner, Rolf Klep]
-
A.
Willem Koenders
Willem Koenders is a relatively obscure individual about whom no widely known public or historical information is readily available.
-
B.
Klaus Evers
Klaus Evers is a German local politician who serves as the mayor of the municipality of Rhede (Ems) in Lower Saxony.
-
C.
Willem Drost
Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
-
D.
Hans Bonte
Hans Bonte is a Belgian politician known for serving as the mayor of Vilvoorde and as a member of the federal parliament.
-
E.
Dolf van der Linden
Dolf van der Linden was a Dutch conductor and composer best known for pioneering light music and leading influential radio and television orchestras in the mid-20th century Netherlands.
- 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: Rolf Klep Triple: [Green River (album), coverArtDesigner, Rolf Klep]
Generated description
Rolf Klep was an American illustrator and commercial artist known for his magazine and book cover art in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rolf Klep Target entity description: Rolf Klep was an American illustrator and commercial artist known for his magazine and book cover art in the mid-20th century.
-
A.
Willem Koenders
Willem Koenders is a relatively obscure individual about whom no widely known public or historical information is readily available.
-
B.
Klaus Evers
Klaus Evers is a German local politician who serves as the mayor of the municipality of Rhede (Ems) in Lower Saxony.
-
C.
Willem Drost
Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
-
D.
Hans Bonte
Hans Bonte is a Belgian politician known for serving as the mayor of Vilvoorde and as a member of the federal parliament.
-
E.
Dolf van der Linden
Dolf van der Linden was a Dutch conductor and composer best known for pioneering light music and leading influential radio and television orchestras in the mid-20th century Netherlands.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a4df5c8190aa0e7684ad6fc9f2 |
completed | April 21, 2026, 12:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b0790348190b6e89fb12eaff9d8 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090c627830819089b0a479efc42536 |
completed | May 17, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cd6f0048190861b7a93560355aa |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:43 p.m.