Triple
T571553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles |
E13673
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Károly
Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
|
E79472
|
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: Károly | Statement: [Charles, hasVariant, Károly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Károly Context triple: [Charles, hasVariant, Károly]
-
A.
Gábor
Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
-
B.
Gróf András István
Gróf András István, better known as Andrew S. Grove, was a Hungarian-American engineer, businessman, and co-founder and longtime CEO of Intel who played a pivotal role in the rise of the semiconductor industry and Silicon Valley.
-
C.
Stephen I of Hungary
Stephen I of Hungary was the first King of Hungary, who converted the country to Christianity and established it as a Christian kingdom in the early 11th century.
-
D.
Pál
Pál is a Hungarian given name, equivalent to the English name Paul.
-
E.
János Gálicz
János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
- 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: Károly Triple: [Charles, hasVariant, Károly]
Generated description
Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Károly Target entity description: Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
-
A.
Gábor
Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
-
B.
Gróf András István
Gróf András István, better known as Andrew S. Grove, was a Hungarian-American engineer, businessman, and co-founder and longtime CEO of Intel who played a pivotal role in the rise of the semiconductor industry and Silicon Valley.
-
C.
Stephen I of Hungary
Stephen I of Hungary was the first King of Hungary, who converted the country to Christianity and established it as a Christian kingdom in the early 11th century.
-
D.
Pál
Pál is a Hungarian given name, equivalent to the English name Paul.
-
E.
János Gálicz
János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b483ac08190b3be152a7cf42011 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56eeb783c819096d6557d31608ce4 |
completed | March 2, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_69a56f749cb48190b0976b157309dc84 |
completed | March 2, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56fedabcc8190a6dd0a268350ca5d |
completed | March 2, 2026, 11:09 a.m. |
Created at: March 1, 2026, 7:33 p.m.