Triple
T3058305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludvík Svoboda |
E60534
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ludvík
Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
|
E355717
|
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: Ludvík | Statement: [Ludvík Svoboda, givenName, Ludvík]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludvík Context triple: [Ludvík Svoboda, givenName, Ludvík]
-
A.
Oldřich
Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
-
B.
Wenceslaus
Wenceslaus was the birth name of Charles IV, the 14th-century Holy Roman Emperor and King of Bohemia from the House of Luxembourg.
-
C.
Vojtech
Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
D.
King Ottokar II of Bohemia
King Ottokar II of Bohemia was a powerful 13th-century ruler who expanded Bohemian influence across Central Europe and became one of the era’s most prominent monarchs.
-
E.
Wenceslaus I of Bohemia
Wenceslaus I of Bohemia was a 13th-century Přemyslid king known for consolidating royal power in Bohemia and resisting the Mongol incursions into Central Europe.
- 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: Ludvík Triple: [Ludvík Svoboda, givenName, Ludvík]
Generated description
Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ludvík Target entity description: Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
-
A.
Oldřich
Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
-
B.
Wenceslaus
Wenceslaus was the birth name of Charles IV, the 14th-century Holy Roman Emperor and King of Bohemia from the House of Luxembourg.
-
C.
Vojtech
Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
D.
King Ottokar II of Bohemia
King Ottokar II of Bohemia was a powerful 13th-century ruler who expanded Bohemian influence across Central Europe and became one of the era’s most prominent monarchs.
-
E.
Wenceslaus I of Bohemia
Wenceslaus I of Bohemia was a 13th-century Přemyslid king known for consolidating royal power in Bohemia and resisting the Mongol incursions into Central Europe.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e1741648190b710b7022252498d |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bab35a0819081b6c568606b4c37 |
completed | March 12, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69b34ff5a3608190bf8f33ae25b3d1ba |
completed | March 12, 2026, 11:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b350b528e4819083497ecfaec5c80d |
completed | March 12, 2026, 11:48 p.m. |
Created at: March 8, 2026, 3:02 p.m.