Triple
T4988967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirek Topolánek |
E112080
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mirek |
E95945
|
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: Mirek | Statement: [Mirek Topolánek, givenName, Mirek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirek Context triple: [Mirek Topolánek, givenName, Mirek]
-
A.
Miroslav
chosen
Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
-
B.
Michal
Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
-
C.
Michal
Michal is a mentally impaired and childlike character in Martin McDonagh’s dark play "The Pillowman," whose actions and relationship with his brother Katurian are central to the story’s moral and emotional conflict.
-
D.
Zdeněk
Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
-
E.
Matúš
Matúš is the Slovak form of the given name Matthew, commonly used in Slovakia and other Slovak-speaking communities.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727eae1c819085e5548faadbd162 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92521bcc8190a1c485216f885778 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:34 p.m.