Triple
T14498354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Cobden |
E359562
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Walter Sickert |
E61244
|
NE FINISHED |
How this triple was built (2 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: Walter Sickert | Statement: [Ellen Cobden, spouse, Walter Sickert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Sickert Context triple: [Ellen Cobden, spouse, Walter Sickert]
-
A.
Walter Sickert
chosen
Walter Sickert was a British painter and printmaker associated with the Camden Town Group, known for his atmospheric urban scenes and influential role in the development of modern British art.
-
B.
Oswald Adalbert Sickert
Oswald Adalbert Sickert was a German-born artist and engraver best known as the father of the influential British painter Walter Sickert.
-
C.
Rupert Bonington
Rupert Bonington is the son of renowned British mountaineer Sir Chris Bonington.
-
D.
John Wain
John Wain was an English novelist, poet, critic, and member of the postwar "Angry Young Men" literary movement.
-
E.
Leon Kossoff
Leon Kossoff was a British figurative painter known for his thickly impastoed depictions of London’s urban landscapes and intimate portraits, associated with the School of London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d99a7948190a3ff01e7b74aaa1e |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.