Triple
T21687044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mom |
E535255
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Bonnie Plunkett |
—
|
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: Bonnie Plunkett | Statement: [Mom, mainCharacter, Bonnie Plunkett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Plunkett Context triple: [Mom, mainCharacter, Bonnie Plunkett]
-
A.
Bonnie Plunkett
chosen
Bonnie Plunkett is a recovering alcoholic and outspoken single mother who serves as one of the central characters on the sitcom "Mom."
-
B.
Bonnie Molloy
Bonnie Molloy is the fictional talk-show host and central character portrayed by Bonnie Hunt in the television sitcom "Life with Bonnie."
-
C.
Bonnie Greer
Bonnie Greer is an American-British playwright, novelist, critic, and broadcaster known for her work on race, feminism, and the arts in the UK.
-
D.
Maryann Plunkett
Maryann Plunkett is an American actress known for her work in film, television, and especially on stage, including a Tony Award-winning performance in the Broadway musical "Me and My Girl."
-
E.
Bonnie Curtis
Bonnie Curtis is an American film producer known for her longtime collaboration with Steven Spielberg on movies such as "Saving Private Ryan" and "Minority Report."
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cc31b8819086ca980521f94501 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.