Triple
T2985543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil Zátopek |
E80615
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Dana Zátopková
Dana Zátopková was a Czech javelin thrower and Olympic champion, renowned both for her athletic achievements and as the wife of legendary runner Emil Zátopek.
|
E315451
|
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: Dana Zátopková | Statement: [Emil Zátopek, spouse, Dana Zátopková]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Zátopková Context triple: [Emil Zátopek, spouse, Dana Zátopková]
-
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.
Eva Ondříčková
Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
-
C.
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.
-
D.
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.
-
E.
Milena Králíčková
Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
- 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: Dana Zátopková Triple: [Emil Zátopek, spouse, Dana Zátopková]
Generated description
Dana Zátopková was a Czech javelin thrower and Olympic champion, renowned both for her athletic achievements and as the wife of legendary runner Emil Zátopek.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dana Zátopková Target entity description: Dana Zátopková was a Czech javelin thrower and Olympic champion, renowned both for her athletic achievements and as the wife of legendary runner Emil Zátopek.
-
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.
Eva Ondříčková
Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
-
C.
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.
-
D.
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.
-
E.
Milena Králíčková
Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c76dfc8190b08bd6110ffabf25 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108fb46b08190bcbd00e69cf06047 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b1098429f0819086767078b9687674 |
completed | March 11, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b109ea926481909c85a9aa28027d41 |
completed | March 11, 2026, 6:21 a.m. |
Created at: March 8, 2026, 2:59 p.m.