Triple
T12691751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ľudovít Štúr |
E303220
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ľudovít |
E355717
|
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: Ľudovít | Statement: [Ľudovít Štúr, givenName, Ľudovít]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ľudovít Context triple: [Ľudovít Štúr, givenName, Ľudovít]
-
A.
Ludvík
chosen
Ludvík is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures.
-
B.
Ľudovít Fulla
Ľudovít Fulla was a prominent Slovak modernist painter, graphic artist, and illustrator known for blending folk motifs with avant-garde styles.
-
C.
Oldřich
Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
-
D.
Vojtech
Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
E.
Václav Varaďa
Václav Varaďa is a former Czech professional ice hockey forward and current coach, known for his physical style of play and contributions in both the NHL and Czech Extraliga.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dabb38819087738361f9de8066 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e2292c8190bffb3a8b6e15029c |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:22 p.m.