Triple
T2757686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldřich Černík |
E61143
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Černík
Černík is a Czech surname most notably associated with Oldřich Černík, a prominent Czechoslovak communist politician and former prime minister.
|
E294421
|
NE FINISHED |
How this triple was built (4 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: Černík | Statement: [Oldřich Černík, familyName, Černík]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Černík Context triple: [Oldřich Černík, familyName, Černík]
-
A.
Čáslav
Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
-
B.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
-
C.
Dubček
Dubček is the surname of Alexander Dubček, the Slovak politician best known for leading the Prague Spring reforms in Czechoslovakia in 1968.
-
D.
Zelníčková
Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
-
E.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Černík Triple: [Oldřich Černík, familyName, Černík]
Generated description
Černík is a Czech surname most notably associated with Oldřich Černík, a prominent Czechoslovak communist politician and former prime minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Černík Target entity description: Černík is a Czech surname most notably associated with Oldřich Černík, a prominent Czechoslovak communist politician and former prime minister.
-
A.
Čáslav
Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
-
B.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
-
C.
Dubček
Dubček is the surname of Alexander Dubček, the Slovak politician best known for leading the Prague Spring reforms in Czechoslovakia in 1968.
-
D.
Zelníčková
Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
-
E.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
- F. None of above. chosen
Provenance (5 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8ba4688190b401b6eb5b734ac6 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdf650c8190baa020143b51f94b |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbc68a4148190b8c41af64bfacd64 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd03744081908c79e88c3189467c |
completed | March 10, 2026, 6:41 a.m. |
Created at: March 6, 2026, 9:57 p.m.