Triple
T21799363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Ellin |
E538193
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Life with Bonnie |
—
|
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: Life with Bonnie | Statement: [Doug Ellin, notableWork, Life with Bonnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Life with Bonnie Context triple: [Doug Ellin, notableWork, Life with Bonnie]
-
A.
Life with Bonnie
chosen
Life with Bonnie is an American sitcom starring Bonnie Hunt as a talk show host juggling her chaotic professional and family life.
-
B.
Life with Billy
Life with Billy is a Canadian television drama film based on a true story of domestic abuse and its legal aftermath.
-
C.
Bonnie Blue
Bonnie Blue is the affectionate nickname of the fictional child of Scarlett O’Hara and Rhett Butler in Margaret Mitchell’s novel "Gone with the Wind."
-
D.
Bonnie
Bonnie is a feminine given name of Scottish origin, often associated with attractiveness and charm.
-
E.
Bonnie
"Bonnie" is a lesser-known television project associated with David Letterman's production company, Worldwide Pants Incorporated.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fd59048190ae4e50f4aee919e7 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.