Triple
T17496852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaroslav of Lobkowicz |
E426082
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jaroslav |
—
|
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: Jaroslav | Statement: [Jaroslav of Lobkowicz, givenName, Jaroslav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaroslav Context triple: [Jaroslav of Lobkowicz, givenName, Jaroslav]
-
A.
Jaroslav
chosen
Jaroslav is a masculine given name of Slavic origin, commonly used in Czech, Slovak, Polish, and other Slavic languages.
-
B.
Ladislav
Ladislav is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
C.
Jiří
Jiří is a common Czech male given name, equivalent to George in English.
-
D.
Miloslav
Miloslav is a masculine given name of Slavic origin, used in various Central and Eastern European countries.
-
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 (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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520e9c8c8190aa955766bc915d26 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.