Triple
T13247965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyšehrad Cemetery |
E315453
|
entity |
| Predicate | notableBurial |
P196
|
FINISHED |
| Object | Karel Čapek |
E359231
|
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: Karel Čapek | Statement: [Vyšehrad Cemetery, notableBurial, Karel Čapek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karel Čapek Context triple: [Vyšehrad Cemetery, notableBurial, Karel Čapek]
-
A.
Karel Čapek
chosen
Karel Čapek was a Czech writer and playwright best known internationally for his science fiction works, including the play "R.U.R." which introduced the word "robot" to the world.
-
B.
Jaroslav Hašek
Jaroslav Hašek was a Czech writer and satirist best known for his unfinished comic novel "The Good Soldier Švejk," a classic of anti-war literature.
-
C.
Karel Černý
Karel Černý was a Czech production designer and art director renowned for his work on major films, including the period drama "Valmont."
-
D.
Karel Hašek
Karel Hašek is a Czech individual notable enough to be recognized as a bearer of the surname Hašek, likely for contributions in a public or professional field.
-
E.
Miroslav Hašek
Miroslav Hašek is a Czech ice hockey player known for his career as a forward in European professional leagues.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d9e7ea881908abc4b3a54896692 |
completed | April 10, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff37f7448190b9c555cae010d3b6 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:24 p.m.