Triple
T2342021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Donen |
E45045
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jeanne Coyne |
E398533
|
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: Jeanne Coyne | Statement: [Stanley Donen, spouse, Jeanne Coyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanne Coyne Context triple: [Stanley Donen, spouse, Jeanne Coyne]
-
A.
Jeanne Coyne
chosen
Jeanne Coyne was an American dancer and choreographer who worked on numerous Hollywood musicals and was married to legendary performer Gene Kelly.
-
B.
Jeanette Demont
Jeanette Demont was the first wife of American oil tycoon and art collector J. Paul Getty.
-
C.
Jeanne Johnson
Jeanne Johnson is known as the wife of American actor and voice actor Clancy Brown.
-
D.
Jeanne Campbell
Jeanne Campbell was a British socialite and journalist known for her connections to prominent literary and political figures, including her marriage to American novelist Norman Mailer.
-
E.
Juanita Vanoy
Juanita Vanoy is a former model and Chicago-based real estate professional best known as the ex-wife of basketball legend Michael Jordan.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ad01fc81909e386986e9acc989 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5334e25ec819090bdefaef44e849b |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 4, 2026, 7:52 p.m.