Triple
T5358269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ondrej Nepela |
E102755
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ondrej |
E236853
|
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: Ondrej | Statement: [Ondrej Nepela, givenName, Ondrej]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ondrej Context triple: [Ondrej Nepela, givenName, Ondrej]
-
A.
Ondrej
chosen
Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
-
B.
Jaromír
Jaromír is a masculine given name of Slavic origin, most famously borne by Czech ice hockey legend Jaromír Jágr.
-
C.
Andrej
Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
-
D.
Zdeno
Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
-
E.
Andrej Radlinský
Andrej Radlinský was a 19th-century Slovak Catholic priest, writer, and national activist who played a significant role in the Slovak national revival movement.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8631ca2c8190856258bf340f6e5d |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e6762481909278935a4eeee177 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.