Triple
T12403393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashidi Yekini |
E296318
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yekini |
E296318
|
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: Yekini | Statement: [Rashidi Yekini, familyName, Yekini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yekini Context triple: [Rashidi Yekini, familyName, Yekini]
-
A.
Yekini
chosen
Yekini is the surname of Rashidi Yekini, the legendary Nigerian footballer best known as his country's all-time leading goal scorer.
-
B.
Yato
Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
-
C.
Inoniya
Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
-
D.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
E.
Yoboki
Yoboki is a small town in Djibouti located within the Dikhil Region, known for its arid landscape and role as a local administrative and trading center.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efc0c7081909fe7d1818a081684 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.