Triple
T18966767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimír Špidla |
E464060
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vladimír Špidla |
—
|
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: Vladimír Špidla | Statement: [Vladimír Špidla, name, Vladimír Špidla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vladimír Špidla Context triple: [Vladimír Špidla, name, Vladimír Špidla]
-
A.
Vladimír Špidla
chosen
Vladimír Špidla is a Czech politician who served as Prime Minister of the Czech Republic and later as a European Commissioner.
-
B.
Vladimír Fiala
Vladimír Fiala is a Czech actor known for his roles in mid-20th-century Czechoslovak film and theater.
-
C.
Mikuláš Dzurinda
Mikuláš Dzurinda is a Slovak politician who served as Prime Minister of Slovakia from 1998 to 2006 and played a key role in the country’s integration into NATO and the European Union.
-
D.
Václav Fiala
Václav Fiala is a Czech sculptor and visual artist known for his monumental works and public installations.
-
E.
Pavel Baudiš
Pavel Baudiš is a Czech software engineer and entrepreneur best known as a co-founder of the cybersecurity company Avast.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d7183c8190b1258c0381233efd |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon