Triple
T10183682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ondrej |
E236853
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Andrej |
E126090
|
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: Andrej | Statement: [Ondrej, relatedName, Andrej]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrej Context triple: [Ondrej, relatedName, Andrej]
-
A.
Andrej
chosen
Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
-
B.
Ondrej
Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
-
C.
Andrej Sustr
Andrej Šustr is a Czech professional ice hockey defenseman who has played in the NHL, most notably for the Tampa Bay Lightning.
-
D.
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.
-
E.
Danijel
Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3408b88190a7d981a6dcea48d9 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3179b9de88190ba3beb7d6dbf7ad3 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:12 p.m.