Triple
T15191345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitus |
E363016
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Vitek |
E1142012
|
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: Vitek | Statement: [Vitus, hasDiminutive, Vitek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vitek Context triple: [Vitus, hasDiminutive, Vitek]
-
A.
Vít
chosen
Vít is a Czech given name derived from the Latin name Vitus, commonly used in Czech-speaking countries.
-
B.
Timotej
Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
-
C.
Vojtech
Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
D.
Vavro
Vavro is a given name most notably borne by Vavro Šrobár, a Slovak politician and physician involved in the founding of Czechoslovakia.
-
E.
Vaslav
Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3304464819083732a23e650c649 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.