Triple
T12333013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kardinal Offishall |
E294008
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | K’naan |
E386819
|
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: K’naan | Statement: [Kardinal Offishall, associatedAct, K’naan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K’naan Context triple: [Kardinal Offishall, associatedAct, K’naan]
-
A.
K'naan
chosen
K'naan is a Somali-Canadian rapper, singer, and poet best known internationally for his inspirational song "Wavin' Flag."
-
B.
Sinana
Sinana is a district (woreda) in Ethiopia’s Oromia Region, located within the agriculturally important Bale Zone.
-
C.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
-
D.
Matisyahu
Matisyahu is an American singer and rapper known for blending Orthodox Jewish themes with reggae, rock, and hip hop music.
-
E.
Amioun
Amioun is a historic town in northern Lebanon known for its ancient churches, olive groves, and role as a cultural center of the Koura region.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346a3f34819091882004ab558347 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.