Triple
T20687735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obafemi Akinwunmi Martins |
E508464
|
entity |
| Predicate | playedForClub |
P2168
|
FINISHED |
| Object | Rubin Kazan |
—
|
NE NERFINISHED |
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: Rubin Kazan | Statement: [Obafemi Akinwunmi Martins, playedForClub, Rubin Kazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubin Kazan Context triple: [Obafemi Akinwunmi Martins, playedForClub, Rubin Kazan]
-
A.
Rubin Kazan
chosen
Rubin Kazan is a Russian professional football club based in Kazan, known for competing in the Russian Premier League and winning multiple domestic titles in the late 2000s.
-
B.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
C.
Khoyski
Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
-
D.
Nikolai Lugansky
Nikolai Lugansky is a renowned Russian classical pianist celebrated for his interpretations of Rachmaninoff and other Romantic repertoire.
-
E.
Kupreanof
Kupreanof is a small city in Alaska located on Kupreanof Island, known for its remote setting and very low population.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaddfe88190897b8963fa8b2245 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.