Triple
T17332464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavel Jozef Šafárik |
E420849
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jozef |
E66212
|
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: Jozef | Statement: [Pavel Jozef Šafárik, givenName, Jozef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jozef Context triple: [Pavel Jozef Šafárik, givenName, Jozef]
-
A.
Jozef
chosen
Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
-
B.
Juraj
Juraj is a Slavic given name, equivalent to the English name George.
-
C.
Ján
Ján is a common Slovak male given name, equivalent to "John" in English.
-
D.
János
János is the Hungarian form of the given name John, commonly used in Hungary and among Hungarian speakers.
-
E.
Jaroslav
Jaroslav is a masculine given name of Slavic origin, commonly used in Czech, Slovak, Polish, and other Slavic languages.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a0fa57881909071fd395b3d46c4 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5025d08190ab2581a3b04ae661 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.