Triple
T17372189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius König |
E422342
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | László Kalmár |
—
|
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: László Kalmár | Statement: [Julius König, notableStudent, László Kalmár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Kalmár Context triple: [Julius König, notableStudent, László Kalmár]
-
A.
László Kalmár
chosen
László Kalmár was a Hungarian mathematician known as a pioneer of theoretical computer science and mathematical logic in Hungary.
-
B.
Pál Kalmár
Pál Kalmár was a Hungarian singer best known for his early and influential recording of the melancholic song "Gloomy Sunday."
-
C.
Tibor Radó
Tibor Radó was a Hungarian-American mathematician known for his contributions to real analysis, topology, and the theory of surfaces, including work related to the Jordan curve theorem.
-
D.
Alfréd Rényi
Alfréd Rényi was a Hungarian mathematician renowned for his influential work in probability theory, information theory, and number theory.
-
E.
Béla Szőkefalvi-Nagy
Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a69d93c81908ce2d909857a3a11 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.