Triple
T16154105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori McCreary |
E391989
|
entity |
| Predicate | notableProjectWithMorganFreeman |
P26239
|
FINISHED |
| Object | Bopha! |
E1197853
|
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: Bopha! | Statement: [Lori McCreary, notableProjectWithMorganFreeman, Bopha!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bopha! Context triple: [Lori McCreary, notableProjectWithMorganFreeman, Bopha!]
-
A.
Bopha!
chosen
Bopha! is a 1993 drama film directed by Morgan Freeman that explores the tensions and injustices of apartheid-era South Africa.
-
B.
Vossi Bop
Vossi Bop is a hit grime/rap single by British artist Stormzy, known for its catchy hook, political references, and chart-topping success in the UK.
-
C.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
D.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
E.
Bajool
Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffef4f96c8190aec3e1411c1d9471 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:01 a.m.