Triple
T10408836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Carlyle Ford |
E245334
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Richard Buckley |
E300560
|
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: Richard Buckley | Statement: [Thomas Carlyle Ford, spouse, Richard Buckley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Buckley Context triple: [Thomas Carlyle Ford, spouse, Richard Buckley]
-
A.
Richard Buckley
chosen
Richard Buckley was an American fashion journalist and editor, best known for his long career at magazines like Vogue and Vanity Fair and his decades-long partnership with designer Tom Ford.
-
B.
Rob Buckley
Rob Buckley is a relatively obscure individual whose name is notably associated with the surname Buckley but who has no widely recognized public profile.
-
C.
Michael Buckley
Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
-
D.
David Buckley
David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
-
E.
Rufus Buckley
Rufus Buckley is an ambitious and politically driven prosecutor in John Grisham’s legal thriller "A Time to Kill."
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94af4ee6881909a36ee1a06a9d3e2 |
completed | April 10, 2026, 7:09 p.m. |
Created at: April 6, 2026, 12:09 p.m.