Triple
T12348590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldřich Černík |
E294423
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oldřich |
E294420
|
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 | Statement: [Oldřich Černík, givenName, Oldřich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oldřich Context triple: [Oldřich Černík, givenName, Oldřich]
-
A.
Oldřich
chosen
Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
-
B.
Ludvík
Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
-
C.
Vojtech
Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
D.
Gustáv
Gustáv is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
E.
Bohuslav
Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
- 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_69f64b90779881909893d1e6877ce567 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:53 p.m.