Triple
T6611678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martina Navratilova |
E149251
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Šubertová
Šubertová is the original Czech family name of tennis legend Martina Navratilova before she adopted her more widely known surname.
|
E599792
|
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: Šubertová | Statement: [Martina Navratilova, familyName, Šubertová]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šubertová Context triple: [Martina Navratilova, familyName, Šubertová]
-
A.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
-
B.
Pekarová
Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
-
C.
Zelníčková
Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
-
D.
Saltykova
Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
-
E.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
- 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: Šubertová Triple: [Martina Navratilova, familyName, Šubertová]
Generated description
Šubertová is the original Czech family name of tennis legend Martina Navratilova before she adopted her more widely known surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Šubertová Target entity description: Šubertová is the original Czech family name of tennis legend Martina Navratilova before she adopted her more widely known surname.
-
A.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
-
B.
Pekarová
Pekarová is a Czech or Slovak feminine surname derived from the masculine form Pekar.
-
C.
Zelníčková
Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
-
D.
Saltykova
Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
-
E.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3778a8819094e83afed7c6596f |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd228fc8190852fac2308233765 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd428b988190b01311ca02f4dff3 |
completed | March 27, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdcc10c08190aa98212bd17063a3 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:57 p.m.