Triple
T22452505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup Golden Glove |
E555028
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lev Yashin |
—
|
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: Lev Yashin | Statement: [FIFA World Cup Golden Glove, namedAfter, Lev Yashin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lev Yashin Context triple: [FIFA World Cup Golden Glove, namedAfter, Lev Yashin]
-
A.
Lev Yashin
chosen
Lev Yashin was a legendary Soviet goalkeeper, widely regarded as one of the greatest footballers of all time and the only goalkeeper ever to win the Ballon d'Or.
-
B.
Ilya Yashin
Ilya Yashin is a prominent Russian opposition politician and activist known for his criticism of Vladimir Putin’s government and his involvement in pro-democracy movements.
-
C.
Oleg Salenko
Oleg Salenko is a former Russian footballer best known for scoring a record five goals in a single World Cup match and finishing as the joint top scorer at the 1994 FIFA World Cup.
-
D.
Egor Kharlamov
Egor Kharlamov is an actor known for his role in the Russian film "Metro."
-
E.
Fyodor Smolov
Fyodor Smolov is a Russian professional footballer known as a forward who has played for top Russian clubs and the national team.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4c63e88190aeedc326599edd18 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.