Triple
T12589420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Buckley |
E300560
|
entity |
| Predicate | hasNotableRelative |
P367
|
FINISHED |
| Object | Tom Ford (husband) |
E48078
|
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: Tom Ford (husband) | Statement: [Richard Buckley, hasNotableRelative, Tom Ford (husband)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Ford (husband) Context triple: [Richard Buckley, hasNotableRelative, Tom Ford (husband)]
-
A.
Tom Ford
chosen
Tom Ford is an American fashion designer and filmmaker known for revitalizing Gucci and directing acclaimed films such as "A Single Man" and "Nocturnal Animals."
-
B.
Patrick Ramsay
Patrick Ramsay is a personal name shared by multiple individuals, most commonly associated with people from English-speaking countries.
-
C.
Victor Clooney
Victor Clooney is a fictional character from the comedy film "Buddy Buddy."
-
D.
Tom Parker Bowles
Tom Parker Bowles is a British food writer and restaurant critic known for his cookbooks, journalism, and television appearances on culinary programs.
-
E.
Sebastian Thomas Hilfiger
Sebastian Thomas Hilfiger is a son of American fashion designer and Tommy Hilfiger brand founder Tommy Hilfiger.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec0a60c8190948706e8b2fcc0ad |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:06 p.m.