Triple
T13353779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyula Andrássy |
E318134
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Andrássy
Andrássy is a prominent Hungarian noble family name historically associated with influential statesmen and aristocrats in the Austro-Hungarian Empire.
|
E1041949
|
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: Andrássy | Statement: [Gyula Andrássy, familyName, Andrássy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrássy Context triple: [Gyula Andrássy, familyName, Andrássy]
-
A.
Deák
Deák is a Hungarian surname most famously associated with Ferenc Deák, a prominent 19th-century statesman known as the "Wise Man of the Nation."
-
B.
Kállay
Kállay is a Hungarian surname most notably associated with Miklós Kállay, who served as Prime Minister of Hungary during World War II.
-
C.
Frigyes
Frigyes is a Hungarian masculine given name, notably borne by the influential mathematician Frigyes Riesz.
-
D.
Fülöp Herzog
Fülöp Herzog was a Hungarian architect known for designing significant public buildings in Budapest, including the Museum of Fine Arts.
-
E.
Gyula
Gyula is a Hungarian masculine given name historically borne by several notable political and cultural figures.
- 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: Andrássy Triple: [Gyula Andrássy, familyName, Andrássy]
Generated description
Andrássy is a prominent Hungarian noble family name historically associated with influential statesmen and aristocrats in the Austro-Hungarian Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrássy Target entity description: Andrássy is a prominent Hungarian noble family name historically associated with influential statesmen and aristocrats in the Austro-Hungarian Empire.
-
A.
Deák
Deák is a Hungarian surname most famously associated with Ferenc Deák, a prominent 19th-century statesman known as the "Wise Man of the Nation."
-
B.
Kállay
Kállay is a Hungarian surname most notably associated with Miklós Kállay, who served as Prime Minister of Hungary during World War II.
-
C.
Frigyes
Frigyes is a Hungarian masculine given name, notably borne by the influential mathematician Frigyes Riesz.
-
D.
Fülöp Herzog
Fülöp Herzog was a Hungarian architect known for designing significant public buildings in Budapest, including the Museum of Fine Arts.
-
E.
Gyula
Gyula is a Hungarian masculine given name historically borne by several notable political and cultural figures.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74615b0f08190a8eb8d8a87cb7053 |
completed | May 3, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_69f74869ebf081908e4672632b30de0d |
completed | May 3, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f748d146388190a830e8a557860e02 |
completed | May 3, 2026, 1:08 p.m. |
Created at: April 9, 2026, 9:32 p.m.