Triple
T13565447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nwankwo Kanu |
E324021
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Kanu |
E321871
|
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: Kanu | Statement: [Nwankwo Kanu, nickname, Kanu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanu Context triple: [Nwankwo Kanu, nickname, Kanu]
-
A.
Kanu
chosen
Kanu is a retired Nigerian professional footballer renowned for his skillful forward play and successful club and international career, including winning the UEFA Champions League and Olympic gold.
-
B.
Kaw
The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
-
C.
Kura
Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
-
D.
Kura
Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
-
E.
Kawa
Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00cecd48190a9a2caff3d424817 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb3d77c8190a7af2ee7e9b6748a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.