Triple
T8780585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Varconi |
E208714
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Várkonyi
Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
|
E776918
|
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: Várkonyi | Statement: [Victor Varconi, familyName, Várkonyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Várkonyi Context triple: [Victor Varconi, familyName, Várkonyi]
-
A.
Vadasz
Vadasz is the surname of Leslie Vadasz, a Hungarian-American engineer and Intel founding member known for his contributions to semiconductor technology.
-
B.
Ernő
Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
-
C.
Sándor
Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
-
D.
Harkányi
Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
-
E.
György
György is a Hungarian given name commonly used for men, equivalent to the English name George.
- 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: Várkonyi Triple: [Victor Varconi, familyName, Várkonyi]
Generated description
Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Várkonyi Target entity description: Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
-
A.
Vadasz
Vadasz is the surname of Leslie Vadasz, a Hungarian-American engineer and Intel founding member known for his contributions to semiconductor technology.
-
B.
Ernő
Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
-
C.
Sándor
Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
-
D.
Harkányi
Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
-
E.
György
György is a Hungarian given name commonly used for men, equivalent to the English name George.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f548aa48190b2e73f292758e361 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017060fd08190bd053f988bd74048 |
completed | April 3, 2026, 7:37 p.m. |
| NEDg | Description generation | batch_69d019059e8481909a696575366aa0b6 |
completed | April 3, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019a2736c8190880c8f3786cf353b |
completed | April 3, 2026, 7:48 p.m. |
Created at: March 30, 2026, 6:42 p.m.