Triple
T22095310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viscount Clumber |
E546011
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Clumber |
—
|
NE NERFINISHED |
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: Clumber | Statement: [Viscount Clumber, namedAfter, Clumber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clumber Context triple: [Viscount Clumber, namedAfter, Clumber]
-
A.
Clumber
chosen
Clumber is a rural locality within the Ipswich City Council area in Queensland, Australia.
-
B.
Letheringsett
Letheringsett is a small village in Norfolk, England, known for its historic watermill and rural setting.
-
C.
Airedale
Airedale is a valley region in West Yorkshire, England, centered around the River Aire and known for its mix of industrial towns and scenic countryside.
-
D.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
-
E.
Talbot hound
The Talbot hound is a now-extinct, large white hunting dog of medieval England, famed for its tracking ability and frequently used as a heraldic emblem.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e82c1481908701f255b834f192 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.