Triple
T10813029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella Lorena Kennedy |
E255149
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Bonnie Blue Butler |
E241214
|
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 Blue Butler | Statement: [Ella Lorena Kennedy, relative, Bonnie Blue Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Blue Butler Context triple: [Ella Lorena Kennedy, relative, Bonnie Blue Butler]
-
A.
Bonnie Blue Butler
chosen
Bonnie Blue Butler is the fictional daughter of Rhett Butler and Scarlett O’Hara in Margaret Mitchell’s novel "Gone with the Wind," whose tragic fate deeply affects the story’s main characters.
-
B.
Bonnie
Bonnie is a feminine given name of Scottish origin, often associated with attractiveness and charm.
-
C.
Bonnie
"Bonnie" is a lesser-known television project associated with David Letterman's production company, Worldwide Pants Incorporated.
-
D.
Billie Stanton
Billie Stanton is the central protagonist of the film "Downhill," around whom the story’s emotional and narrative developments revolve.
-
E.
Bonnie Jones
Bonnie Jones is known as the wife of acclaimed American television producer, director, and writer Gene Reynolds.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eba9b48190b4dbe7fe5d8be0a4 |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7c0907c8190b092bb6754fe4e52 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:18 p.m.