Triple
T21560100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Emsworth |
E531991
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Lady Julia Fish |
—
|
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: Lady Julia Fish | Statement: [Earl of Emsworth, hasSibling, Lady Julia Fish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Julia Fish Context triple: [Earl of Emsworth, hasSibling, Lady Julia Fish]
-
A.
Lady Julia Fish
chosen
Lady Julia Fish is a fictional aristocratic character from P. G. Wodehouse’s Blandings Castle stories, known as one of Lord Emsworth’s many siblings.
-
B.
Lady Fisher
Lady Fisher is the noble title held by Frances Katharine Josepha Broughton, a British aristocrat associated with the Fisher family.
-
C.
Julia Shuttlethwaite
Julia Shuttlethwaite is a character in T. S. Eliot’s verse drama "The Cocktail Party," known for her perceptive, almost mystical insight into the other characters’ personal crises.
-
D.
Julia de Lancy
Julia de Lancy was the wife of U.S. Army officer and War of 1812 hero Edmund P. Gaines.
-
E.
Mary Jenkins
Mary Jenkins is the sharp-witted, hardworking apartment building manager portrayed by Marla Gibbs on the sitcom "227."
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e2db2c81908b965312c50d4354 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.