Triple
T17996837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOP 09 |
E430522
|
entity |
| Predicate | notableLeader |
P304
|
FINISHED |
| Object | Karel Schwarzenberg |
—
|
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: Karel Schwarzenberg | Statement: [TOP 09, notableLeader, Karel Schwarzenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karel Schwarzenberg Context triple: [TOP 09, notableLeader, Karel Schwarzenberg]
-
A.
Karel Schwarzenberg
chosen
Karel Schwarzenberg is a Czech politician and aristocrat, known for serving as Minister of Foreign Affairs and as a prominent pro-democracy and pro-European public figure after the fall of communism.
-
B.
Václav Klaus
Václav Klaus is a Czech economist and conservative politician who served as both Prime Minister and later President of the Czech Republic.
-
C.
Josef Koucký
Josef Koucký was a Czech firearms designer best known for co-creating the influential CZ 75 semi-automatic pistol.
-
D.
Bohuslav Sobotka
Bohuslav Sobotka is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the Czech Social Democratic Party.
-
E.
Pavel Baudiš
Pavel Baudiš is a Czech software engineer and entrepreneur best known as a co-founder of the cybersecurity company Avast.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e4ae948190903ed255b0fe1dca |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.