Triple
T17409104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Huxley |
E423299
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Julia Arnold |
—
|
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: Julia Arnold | Statement: [Leonard Huxley, spouse, Julia Arnold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Arnold Context triple: [Leonard Huxley, spouse, Julia Arnold]
-
A.
Julia Arnold
chosen
Julia Arnold was an English woman from the prominent Arnold family, known as the wife of writer and editor Leonard Huxley and mother of authors Aldous and Julian Huxley.
-
B.
Julia Arnold
Julia Arnold is the widow of the late British Conservative MP Sir David Amess.
-
C.
Bessie Rayner Parkes
Bessie Rayner Parkes was a 19th-century English feminist, writer, and activist who campaigned for women’s education and employment rights.
-
D.
Helen Torr
Helen Torr was an American modernist painter associated with the Stieglitz Circle, known for her abstracted coastal landscapes and close artistic partnership with Arthur Dove.
-
E.
Muriel Whiting
Muriel Whiting was the wife of British Royal Air Force commander Hugh Dowding, 1st Baron Dowding, noted for his leadership during the Battle of Britain.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0990f48190b62d73087ae1a0d7 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.