Triple
T14345866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludvík |
E355717
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Luděk |
E93139
|
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: Luděk | Statement: [Ludvík, shortForm, Luděk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luděk Context triple: [Ludvík, shortForm, Luděk]
-
A.
Zdeněk
Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
-
B.
Jan Kotěra
Jan Kotěra was a pioneering Czech architect and key figure of early modern architecture in Central Europe, known for transitioning from Art Nouveau to functionalist and modernist styles.
-
C.
Ladislav
Ladislav is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
D.
Augustin Žídek
Augustin Žídek is a researcher in computational biology and machine learning, known for co-authoring the landmark 2021 Nature paper on AlphaFold’s protein structure prediction.
-
E.
Luděk Bukač
chosen
Luděk Bukač was a prominent Czech ice hockey coach and former player, best known for leading Czechoslovak and later Czech national teams to multiple World Championship titles.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8b81bc8190ace2a575faf55cc0 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469f63b881909c164b1aaadcc15d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.