Triple
T4716927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cleese |
E104665
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jennifer Wade |
E203180
|
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: Jennifer Wade | Statement: [John Cleese, spouse, Jennifer Wade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Wade Context triple: [John Cleese, spouse, Jennifer Wade]
-
A.
Jennifer Wade
chosen
Jennifer Wade is a British jewelry designer and former model best known as the fourth wife of comedian and actor John Cleese.
-
B.
Sydney Ellen Wade
Sydney Ellen Wade is a fictional, idealistic environmental lobbyist who becomes the romantic interest of the U.S. president in the film "The American President."
-
C.
Kay Medford
Kay Medford was an American stage and screen actress best known for her Tony- and Oscar-nominated portrayal of Fanny Brice’s mother in the musical and film "Funny Girl."
-
D.
Jennifer Winkley
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
E.
Jenna Ward
Jenna Ward is the sister of American actress Sela Ward, who is known for her work in film and television.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd640a32ec8190850146957885c3cf |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfaf26c0e481909f54973d30da3ef4 |
completed | March 22, 2026, 8:58 a.m. |
Created at: March 20, 2026, 1:18 p.m.