Triple
T17888858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiala |
E447261
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Petr Fiala |
—
|
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: Petr Fiala | Statement: [Fiala, hasNotableBearer, Petr Fiala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petr Fiala Context triple: [Fiala, hasNotableBearer, Petr Fiala]
-
A.
Petr Fiala
chosen
Petr Fiala is a Czech political scientist and politician who serves as the Prime Minister of the Czech Republic and leader of the Civic Democratic Party.
-
B.
Pavel Baudiš
Pavel Baudiš is a Czech software engineer and entrepreneur best known as a co-founder of the cybersecurity company Avast.
-
C.
Radek Duda
Radek Duda is a Czech professional ice hockey player known for his long career as a forward in the Czech Extraliga and various European leagues.
-
D.
Vladimír Špidla
Vladimír Špidla is a Czech politician who served as Prime Minister of the Czech Republic and later as a European Commissioner.
-
E.
Petr Pavel
Petr Pavel is a Czech politician and retired army general who serves as the President of the Czech Republic.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c15f8b08190ac8d134e32d62d18 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.