Triple
T20147827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Ekberg |
E491350
|
entity |
| Predicate | filmography |
P15620
|
FINISHED |
| Object | Call Me Bwana |
—
|
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: Call Me Bwana | Statement: [Anita Ekberg, filmography, Call Me Bwana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Call Me Bwana Context triple: [Anita Ekberg, filmography, Call Me Bwana]
-
A.
Call Me Bwana
chosen
Call Me Bwana is a 1963 British comedy film starring Bob Hope that parodies African safari and space-race themes.
-
B.
Mama Africa
"Mama Africa" is a roots reggae album by Jamaican musician Peter Tosh that blends socially conscious lyrics with traditional and contemporary reggae sounds.
-
C.
Mama Africa
"Mama Africa" is a socially conscious Afropop/R&B song by Akon that celebrates and pays tribute to the African continent and its people.
-
D.
Mama Africa
Mama Africa is the affectionate nickname of South African singer and civil rights activist Miriam Makeba, renowned worldwide for her powerful voice and role in the anti-apartheid movement.
-
E.
Mama Africa
Mama Africa is a 2016 studio album by Nigerian singer Yemi Alade that blends Afro-pop, highlife, and dance music while celebrating African culture and womanhood.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0075c8190a5c4de53a0caa7f6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.