Triple
T14930099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | József Kauser |
E372237
|
entity |
| Predicate | nameInNativeLanguage |
P1435
|
FINISHED |
| Object | Kauser József |
E372237
|
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: Kauser József | Statement: [József Kauser, nameInNativeLanguage, Kauser József]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kauser József Context triple: [József Kauser, nameInNativeLanguage, Kauser József]
-
A.
József Kauser
chosen
József Kauser was a Hungarian architect best known for his significant role in completing and shaping the design of Budapest’s monumental St. Stephen's Basilica.
-
B.
Miklós László
Miklós László was a Hungarian-born playwright best known for writing the stage play that inspired the classic film "The Shop Around the Corner."
-
C.
Pál Kadosa
Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
-
D.
József Takács
József Takács is a Hungarian footballer known for his contributions to early 20th-century Hungarian club and national teams.
-
E.
János Józsa
János Józsa is a Hungarian academic and engineer who has served as rector of the Budapest University of Technology and Economics.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d44044819088c86f46b02404ed |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 2:36 a.m.