Triple
T6409841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keke |
E127675
|
entity |
| Predicate | followsWork |
P9710
|
FINISHED |
| Object | Kooda |
E125939
|
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: Kooda | Statement: [Keke, followsWork, Kooda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kooda Context triple: [Keke, followsWork, Kooda]
-
A.
Kooda
chosen
"Kooda" is a high-energy hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive delivery and colorful, chaotic music video that helped launch his mainstream notoriety.
-
B.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
C.
Kataja
Kataja is a short form or nickname of the female given name Katarina.
-
D.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
-
E.
Kitinen
Kitinen is a significant river in northern Finland that serves as one of the main tributaries of the Kemijoki river system.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638b7582481909640965acf261dff |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:41 p.m.