Triple
T23373580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Kelley |
E593544
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Cassi Davis Kelley |
—
|
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: Cassi Davis Kelley | Statement: [Charles Kelley, spouse, Cassi Davis Kelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassi Davis Kelley Context triple: [Charles Kelley, spouse, Cassi Davis Kelley]
-
A.
Cassi Davis
chosen
Cassi Davis is an American actress best known for her comedic roles in Tyler Perry’s films and television series, particularly as Ella Payne in "House of Payne."
-
B.
Lisa Davis
Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
-
C.
Lisa Davis
Lisa Davis is a fictional U.S. Navy logistics specialist and key supporting character on the military drama television series "SEAL Team."
-
D.
Jennifer Cossitt
Jennifer Cossitt is a Canadian politician who has served as the elected representative for the Leeds—Grenville electoral district.
-
E.
Cindy Kelley
Cindy Kelley is a screenwriter known for her work on the 2009 film adaptation of "The Velveteen Rabbit."
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b0bc3c8190b1093f7ea29d015c |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.