Triple
T17372165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius König |
E422342
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
László Kalmár
László Kalmár was a Hungarian mathematician known as a pioneer of theoretical computer science and mathematical logic in Hungary.
|
E1265393
|
NE FINISHED |
How this triple was built (4 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, influenced, László Kalmár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Kalmár Context triple: [Julius König, influenced, László Kalmár]
-
A.
Pál Kalmár
Pál Kalmár was a Hungarian singer best known for his early and influential recording of the melancholic song "Gloomy Sunday."
-
B.
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.
-
C.
Alfréd Rényi
Alfréd Rényi was a Hungarian mathematician renowned for his influential work in probability theory, information theory, and number theory.
-
D.
Béla Szőkefalvi-Nagy
Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
-
E.
János Szentágothai
János Szentágothai was a prominent Hungarian neuroscientist and anatomist renowned for his pioneering research on the structure and function of the brain.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: László Kalmár Triple: [Julius König, influenced, László Kalmár]
Generated description
László Kalmár was a Hungarian mathematician known as a pioneer of theoretical computer science and mathematical logic in Hungary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: László Kalmár Target entity description: László Kalmár was a Hungarian mathematician known as a pioneer of theoretical computer science and mathematical logic in Hungary.
-
A.
Pál Kalmár
Pál Kalmár was a Hungarian singer best known for his early and influential recording of the melancholic song "Gloomy Sunday."
-
B.
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.
-
C.
Alfréd Rényi
Alfréd Rényi was a Hungarian mathematician renowned for his influential work in probability theory, information theory, and number theory.
-
D.
Béla Szőkefalvi-Nagy
Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
-
E.
János Szentágothai
János Szentágothai was a prominent Hungarian neuroscientist and anatomist renowned for his pioneering research on the structure and function of the brain.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019568a27c8190af1bbe6db75f3e6f |
completed | May 11, 2026, 8:38 a.m. |
| NEDg | Description generation | batch_6a019b7b645c819087040b18ee447321 |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c8392d8819098317ff88a5c6e06 |
completed | May 11, 2026, 9:08 a.m. |
Created at: April 10, 2026, 5:44 a.m.