Triple
T22899621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch a Fire |
E568272
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Bonnie Henna |
—
|
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 Henna | Statement: [Catch a Fire, starredActor, Bonnie Henna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Henna Context triple: [Catch a Fire, starredActor, Bonnie Henna]
-
A.
Bonnie Henna
chosen
Bonnie Henna is a South African actress and television personality known for her roles in film and TV dramas, as well as for hosting and reality-show appearances.
-
B.
Bonnie Owens
Bonnie Owens was an American country music singer and songwriter known for her work in the Bakersfield sound and her collaborations with Merle Haggard and Buck Owens.
-
C.
Bonnie Stevenson
Bonnie Stevenson is a character in the 2017 drama film "Gifted," which centers on a young math prodigy and her family.
-
D.
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.
-
E.
Bonnie Sloan
Bonnie Sloan is a former American football defensive tackle who became the first deaf player in National Football League history.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180155b1c8190a83eb6ec45387a1a |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.