Triple
T12845318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Franklin |
E307159
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bonnie Franklin |
E307159
|
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: Bonnie Franklin | Statement: [Bonnie Franklin, name, Bonnie Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Franklin Context triple: [Bonnie Franklin, name, Bonnie Franklin]
-
A.
Bonnie Franklin
chosen
Bonnie Franklin was an American actress best known for her Emmy- and Golden Globe-nominated lead role as single mother Ann Romano on the groundbreaking sitcom "One Day at a Time."
-
B.
Bonnie Chalkin
Bonnie Chalkin is known as the former wife of American actor Judd Hirsch.
-
C.
Bonnie Arnold
Bonnie Arnold is an American film producer best known for her work on pioneering computer-animated features such as Toy Story and the How to Train Your Dragon series.
-
D.
Bonnie Erickson
Bonnie Erickson is an American designer and creative director best known for her work with Jim Henson and for creating iconic mascots such as the Phillie Phanatic.
-
E.
Vivian Bonnell
Vivian Bonnell was an actress known for her work in film and television, including a role in the biographical drama "The Josephine Baker Story."
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff3a7208190b93f6292ed5efc07 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda8fd6f5081908de9a9e3df28a8ea |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 9, 2026, 5:36 p.m.