Triple
T17940922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle of Eger |
E448583
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
István Dobó
István Dobó was a 16th-century Hungarian military commander best known for leading the successful defense of Eger against the Ottoman siege in 1552.
|
E1297991
|
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: István Dobó | Statement: [Castle of Eger, namedAfter, István Dobó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: István Dobó Context triple: [Castle of Eger, namedAfter, István Dobó]
-
A.
Gyula Jankovits
Gyula Jankovits was a Hungarian sculptor best known for creating prominent public monuments in Budapest, including the Gellért Monument.
-
B.
László Bárdossy
László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
-
C.
József Vágó
József Vágó was a Hungarian architect associated with early 20th-century modernist and Art Nouveau movements, known for his contributions to significant international projects.
-
D.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
E.
Lajos Koltai
Lajos Koltai is a Hungarian cinematographer and film director renowned for his visually expressive work on both European and Hollywood films.
- 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: István Dobó Triple: [Castle of Eger, namedAfter, István Dobó]
Generated description
István Dobó was a 16th-century Hungarian military commander best known for leading the successful defense of Eger against the Ottoman siege in 1552.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: István Dobó Target entity description: István Dobó was a 16th-century Hungarian military commander best known for leading the successful defense of Eger against the Ottoman siege in 1552.
-
A.
Gyula Jankovits
Gyula Jankovits was a Hungarian sculptor best known for creating prominent public monuments in Budapest, including the Gellért Monument.
-
B.
László Bárdossy
László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
-
C.
József Vágó
József Vágó was a Hungarian architect associated with early 20th-century modernist and Art Nouveau movements, known for his contributions to significant international projects.
-
D.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
E.
Lajos Koltai
Lajos Koltai is a Hungarian cinematographer and film director renowned for his visually expressive work on both European and Hollywood films.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad95f4608190b1ebb45944218f07 |
completed | April 19, 2026, 10:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032914b7008190a7207d93f865ea8f |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032b598bd881909f53df8f82799b6b |
completed | May 12, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c42d0a08190b2665adafaffdca7 |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:21 a.m.