Triple
T12348532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Černík |
E294421
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Oldřich Černík |
E61143
|
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: Oldřich Černík | Statement: [Černík, hasNotableBearer, Oldřich Černík]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oldřich Černík Context triple: [Černík, hasNotableBearer, Oldřich Černík]
-
A.
Oldřich Černík
chosen
Oldřich Černík was a Czechoslovak communist politician who served as prime minister and became one of the prominent reformist leaders during the Prague Spring of 1968.
-
B.
Miloš Štědroň
Miloš Štědroň is a Czech composer, musicologist, and educator known for his contributions to contemporary classical music and scholarship on Leoš Janáček.
-
C.
Jan Černocký
Jan Černocký is a Czech researcher in speech and audio processing, known for his work in machine learning and his role at Brno University of Technology’s Speech@FIT group.
-
D.
Miroslav Lajčák
Miroslav Lajčák is a Slovak diplomat and politician who has served in senior roles for both Slovakia and international organizations, including the European Union and the United Nations.
-
E.
Eduard Nápravník
Eduard Nápravník was a prominent 19th-century Czech-born conductor and composer who became a leading figure at the Imperial Mariinsky Theatre in St. Petersburg, championing Russian opera and symphonic music.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea0a4c4819091a7a66c3b73d776 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.