Triple
T3349166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arts and Crafts Exhibition Society |
E70446
|
entity |
| Predicate | hadMember |
P5021
|
FINISHED |
| Object |
Selwyn Image
Selwyn Image was a British artist, designer, and clergyman associated with the Arts and Crafts movement, known for his stained glass, illustration, and decorative work.
|
E350486
|
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: Selwyn Image | Statement: [Arts and Crafts Exhibition Society, hadMember, Selwyn Image]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selwyn Image Context triple: [Arts and Crafts Exhibition Society, hadMember, Selwyn Image]
-
A.
Elwyn
Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
-
B.
Ewen
Ewen is a small village in Gloucestershire, England, situated near the source of the River Thames.
-
C.
Slevin Kelevra
Slevin Kelevra is the unlucky yet sharp-witted protagonist of the crime thriller film "Lucky Number Slevin," who becomes entangled in a complex web of mistaken identity, mob rivalry, and revenge.
-
D.
Weslee
Weslee is a modern feminine given name, typically understood as a variant of the name Wesley.
-
E.
John Swan
John Swan is a Bermudian politician and businessman who served as Premier of Bermuda in the 1980s and early 1990s.
- 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: Selwyn Image Triple: [Arts and Crafts Exhibition Society, hadMember, Selwyn Image]
Generated description
Selwyn Image was a British artist, designer, and clergyman associated with the Arts and Crafts movement, known for his stained glass, illustration, and decorative work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selwyn Image Target entity description: Selwyn Image was a British artist, designer, and clergyman associated with the Arts and Crafts movement, known for his stained glass, illustration, and decorative work.
-
A.
Elwyn
Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
-
B.
Ewen
Ewen is a small village in Gloucestershire, England, situated near the source of the River Thames.
-
C.
Slevin Kelevra
Slevin Kelevra is the unlucky yet sharp-witted protagonist of the crime thriller film "Lucky Number Slevin," who becomes entangled in a complex web of mistaken identity, mob rivalry, and revenge.
-
D.
Weslee
Weslee is a modern feminine given name, typically understood as a variant of the name Wesley.
-
E.
John Swan
John Swan is a Bermudian politician and businessman who served as Premier of Bermuda in the 1980s and early 1990s.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21dc7c08190bc18adff8ac5eca2 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3252adb9c8190b053c8da0c0488a3 |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b32625069c8190a77e6bbc27898f58 |
completed | March 12, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326a3cb5c8190a0d0c9d0a0e9b7d3 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.