Triple
T20543760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Čáslavská |
E504412
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Věra |
—
|
NE NERFINISHED |
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: Věra | Statement: [Vera Čáslavská, givenName, Věra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Věra Context triple: [Vera Čáslavská, givenName, Věra]
-
A.
Věra
chosen
Věra is a common Czech female given name, traditionally associated with the meaning "faith."
-
B.
Věra Davidová
Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
-
C.
Vera Kresadlová
Vera Kresadlová is a Czech actress known for her roles in 1960s Czechoslovak cinema and for her marriage to acclaimed film director Miloš Forman.
-
D.
Žofia
Žofia is a feminine given name, commonly used in Slovak and other Slavic languages, equivalent to the name Sophia.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2957c308190aab81127f82f8aa6 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.