Triple
T16679271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stop for a Minute |
E405296
|
entity |
| Predicate | writer |
P1360
|
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: [Stop for a Minute, writer, K'naan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K'naan Context triple: [Stop for a Minute, writer, 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 was a French-Brazilian band best known for their 1989 worldwide hit dance single "Lambada."
-
D.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
-
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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6e74ec81909ea95c3e4b0113ab |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009194ad188190aae3371c97abc045 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.