Triple
T22288681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novák |
E550931
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Novak |
—
|
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: Novak | Statement: [Novák, hasVariant, Novak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novak Context triple: [Novák, hasVariant, Novak]
-
A.
Novak
chosen
Novak is a common Slavic surname borne by numerous notable individuals across fields such as sports, entertainment, and politics.
-
B.
Milos Novak
Milos Novak is a notable individual bearing the surname Novak, recognized enough to be specifically distinguished among people with that name.
-
C.
Novak Djokovic
Novak Djokovic is a Serbian professional tennis player widely regarded as one of the greatest of all time, holding numerous Grand Slam titles and records across all major tournaments.
-
D.
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.
-
E.
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.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15609854c81908adb7681cff2c404 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.