Triple
T3270357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jozef Tiso |
E68631
|
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: [Jozef Tiso, givenName, Jozef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jozef Context triple: [Jozef Tiso, 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.
János
János is the Hungarian form of the given name John, commonly used in Hungary and among Hungarian speakers.
-
C.
Jozef Gabčík
Jozef Gabčík was a Slovak soldier and resistance fighter in World War II, best known as one of the two Czechoslovak paratroopers who carried out the 1942 assassination of high-ranking Nazi official Reinhard Heydrich.
-
D.
Józef
Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
-
E.
Timotej
Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28efded588190bd6c361e5298b496 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.