Triple
T7296096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenzel |
E164524
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Václav |
E440805
|
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: Václav | Statement: [Wenzel, hasVariant, Václav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Václav Context triple: [Wenzel, hasVariant, Václav]
-
A.
Václav
chosen
Václav is a common Czech male given name, historically borne by several notable figures including saints, nobles, and modern politicians.
-
B.
Vojtech
Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
C.
Emil Hácha
Emil Hácha was a Czech lawyer and politician who served as the last president of Czechoslovakia before and during its dismemberment under Nazi pressure.
-
D.
Gustáv
Gustáv is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
E.
Edvard Beneš
Edvard Beneš was a prominent Czech statesman who served as the second President of Czechoslovakia and a key leader in the country’s resistance and diplomacy during both World Wars.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8d0c6c8190b32cd08b9a5d96cc |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e547c7b88190b792495efb3a215c |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.