Triple
T14743980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lev Praha |
E346418
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Jakub Klepiš |
E346421
|
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: Jakub Klepiš | Statement: [Lev Praha, notablePlayer, Jakub Klepiš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jakub Klepiš Context triple: [Lev Praha, notablePlayer, Jakub Klepiš]
-
A.
Jakub Klepiš
chosen
Jakub Klepiš is a Czech professional ice hockey forward known for his international play and contributions to top European clubs.
-
B.
Kamil Kuča
Kamil Kuča is a Czech academic and scientist who serves as the rector of the University of Hradec Králové.
-
C.
Dominik Kubalík
Dominik Kubalík is a Czech professional ice hockey forward known for his goal-scoring ability in international play and the NHL.
-
D.
Marek Sikora
Marek Sikora was a Czech film and theater actor and director known for his work in late 20th-century Czechoslovak cinema and stage productions.
-
E.
Tomas Jurco
Tomas Jurco is a Slovak professional ice hockey forward who has played in the NHL and internationally for Slovakia.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e79997c8190bb6f158d50603066 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:30 a.m.