Triple
T21074624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Boulting |
E519197
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Enid Boulting |
—
|
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: Enid Boulting | Statement: [John Boulting, spouse, Enid Boulting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enid Boulting Context triple: [John Boulting, spouse, Enid Boulting]
-
A.
Dilys Watling
Dilys Watling was an English actress known for her work in television, film, and theatre, including appearances in British comedies and West End productions.
-
B.
Jacqueline Boulting
chosen
Jacqueline Boulting was the wife of British film director and producer John Boulting, associated with the mid-20th-century British cinema scene.
-
C.
Dilys Winn
Dilys Winn was an influential American mystery bookseller and editor, best known for founding the first bookstore devoted exclusively to mystery fiction and for her contributions to popularizing the genre.
-
D.
Louise Whitfield
Louise Whitfield was an American philanthropist best known as the wife of industrialist Andrew Carnegie and for her extensive charitable work.
-
E.
Dilys Thomas
Dilys Thomas was the mother of British broadcaster and historian Jonathan Dimbleby.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702d5ae908190ab5303e39443d729 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:48 p.m.