Triple
T2450717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miroslav Ondříček |
E53695
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Eva Ondříčková
Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
|
E267557
|
NE FINISHED |
How this triple was built (4 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: Eva Ondříčková | Statement: [Miroslav Ondříček, spouse, Eva Ondříčková]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva Ondříčková Context triple: [Miroslav Ondříček, spouse, Eva Ondříčková]
-
A.
Dana Vávrová
Dana Vávrová was a Czech-born German actress and film director known for her acclaimed performances in European cinema and collaborations with director Joseph Vilsmaier.
-
B.
Milena Králíčková
Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
-
C.
Hana Benešová
Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
-
D.
Júlia Justína Zavacká
Júlia Justína Zavacká, later known as Julia Warhola, was the mother of American artist Andy Warhol and an important influence on his life and work.
-
E.
Markéta Vaňková
Markéta Vaňková is a Czech politician who serves as the mayor of Brno, one of the country’s largest cities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eva Ondříčková Triple: [Miroslav Ondříček, spouse, Eva Ondříčková]
Generated description
Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eva Ondříčková Target entity description: Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
-
A.
Dana Vávrová
Dana Vávrová was a Czech-born German actress and film director known for her acclaimed performances in European cinema and collaborations with director Joseph Vilsmaier.
-
B.
Milena Králíčková
Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
-
C.
Hana Benešová
Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
-
D.
Júlia Justína Zavacká
Júlia Justína Zavacká, later known as Julia Warhola, was the mother of American artist Andy Warhol and an important influence on his life and work.
-
E.
Markéta Vaňková
Markéta Vaňková is a Czech politician who serves as the mayor of Brno, one of the country’s largest cities.
- F. None of above. chosen
Provenance (5 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f402b48190b871b2475983af7e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c2a7b08190beb27f6a83208e5c |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef5de0e4c8190af460b7e2fb2a5eb |
completed | March 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef68a6a18819097876fea0120103b |
completed | March 9, 2026, 4:34 p.m. |
Created at: March 6, 2026, 9:43 p.m.