Triple
T11597407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kornél Mundruczó |
E275039
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kornél
Kornél is a Hungarian masculine given name, notably borne by acclaimed film and theatre director Kornél Mundruczó.
|
E936003
|
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: Kornél | Statement: [Kornél Mundruczó, givenName, Kornél]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kornél Context triple: [Kornél Mundruczó, givenName, Kornél]
-
A.
András
András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
-
B.
Lóránt
Lóránt is a Hungarian given name derived from the Latin name Laurentius, commonly used for males in Hungary.
-
C.
Béla
Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
-
D.
Kálmán
Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
-
E.
Sándor
Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
- 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: Kornél Triple: [Kornél Mundruczó, givenName, Kornél]
Generated description
Kornél is a Hungarian masculine given name, notably borne by acclaimed film and theatre director Kornél Mundruczó.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kornél Target entity description: Kornél is a Hungarian masculine given name, notably borne by acclaimed film and theatre director Kornél Mundruczó.
-
A.
András
András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
-
B.
Lóránt
Lóránt is a Hungarian given name derived from the Latin name Laurentius, commonly used for males in Hungary.
-
C.
Béla
Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
-
D.
Kálmán
Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
-
E.
Sándor
Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7cad108819082eebb3ca130f5b8 |
completed | April 22, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e8af93e07c8190aecb040cac6db146 |
completed | April 22, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b254a2081909cba97a6ecb10601 |
completed | April 26, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:38 p.m.