Triple
T21632850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novak |
E533877
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Novàk |
—
|
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: Novàk | Statement: [Novak, hasVariant, Novàk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novàk Context triple: [Novak, hasVariant, Novàk]
-
A.
Novak
chosen
Novak is a common Slavic surname borne by numerous notable individuals across fields such as sports, entertainment, and politics.
-
B.
Jiri Novak
Jiří Novák is a retired Czech professional tennis player best known for reaching a career-high singles ranking of world No. 5 in the early 2000s.
-
C.
Jaka Lakovič
Jaka Lakovič is a Slovenian former professional basketball player and current coach, best known as a skilled point guard who starred in European leagues and for the Slovenian national team.
-
D.
Lukas Hradecky
Lukas Hradecky is a professional football goalkeeper, born in Slovakia and raised in Finland, known for being Finland’s long-time first-choice keeper and a standout player in the German Bundesliga.
-
E.
Novakova
Novakova is a Slavic surname, typically the feminine form of "Novak," commonly found in Czech and Slovak cultures.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52185dbc819096ad2fc5b7d953f8 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.