Triple
T21521986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Ives School of artists |
E530996
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Sven Berlin
Sven Berlin was a British painter, sculptor, and writer associated with the mid-20th-century St Ives art scene in Cornwall.
|
E1489494
|
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: Sven Berlin | Statement: [St Ives School of artists, hasMember, Sven Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sven Berlin Context triple: [St Ives School of artists, hasMember, Sven Berlin]
-
A.
Sven Kaiser
Sven Kaiser is a German local politician who serves as the mayor of the town of Geldern in North Rhine-Westphalia.
-
B.
Sven Wollter
Sven Wollter was a prominent Swedish actor known for his work in film, television, and theater, as well as for his outspoken left-wing political activism.
-
C.
Sven Berg
Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
-
D.
Sven Wagner
Sven Wagner is a German local politician who serves as the mayor of the town of Aschersleben in Saxony-Anhalt.
-
E.
Sven Pipien
Sven Pipien is a German-born bassist best known for his long-running role in the American rock band The Black Crowes.
- 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: Sven Berlin Triple: [St Ives School of artists, hasMember, Sven Berlin]
Generated description
Sven Berlin was a British painter, sculptor, and writer associated with the mid-20th-century St Ives art scene in Cornwall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sven Berlin Target entity description: Sven Berlin was a British painter, sculptor, and writer associated with the mid-20th-century St Ives art scene in Cornwall.
-
A.
Sven Kaiser
Sven Kaiser is a German local politician who serves as the mayor of the town of Geldern in North Rhine-Westphalia.
-
B.
Sven Wollter
Sven Wollter was a prominent Swedish actor known for his work in film, television, and theater, as well as for his outspoken left-wing political activism.
-
C.
Sven Berg
Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
-
D.
Sven Wagner
Sven Wagner is a German local politician who serves as the mayor of the town of Aschersleben in Saxony-Anhalt.
-
E.
Sven Pipien
Sven Pipien is a German-born bassist best known for his long-running role in the American rock band The Black Crowes.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884cff5881908d93a54578e7b1b0 |
completed | April 26, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e8271eb08190bcfb9c33558615d3 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09eb817ab08190872aa7c5e61a4d6c |
completed | May 17, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ec5281308190988f0427f6abda69 |
completed | May 17, 2026, 4:26 p.m. |
Created at: April 16, 2026, 6:26 p.m.