Triple
T3336282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes' Square |
E70146
|
entity |
| Predicate | sculptor |
P184
|
FINISHED |
| Object |
Zala György
Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
|
E350607
|
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: Zala György | Statement: [Heroes' Square, sculptor, Zala György]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zala György Context triple: [Heroes' Square, sculptor, Zala György]
-
A.
Ernő Gerő
Ernő Gerő was a hardline Hungarian communist leader and brief de facto head of state whose intransigent policies and actions helped trigger the 1956 Hungarian Revolution.
-
B.
Lajos Koltai
Lajos Koltai is a Hungarian cinematographer and film director renowned for his visually expressive work on both European and Hollywood films.
-
C.
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.
-
D.
Miklós
Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
-
E.
Pál Kadosa
Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
- 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: Zala György Triple: [Heroes' Square, sculptor, Zala György]
Generated description
Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zala György Target entity description: Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
-
A.
Ernő Gerő
Ernő Gerő was a hardline Hungarian communist leader and brief de facto head of state whose intransigent policies and actions helped trigger the 1956 Hungarian Revolution.
-
B.
Lajos Koltai
Lajos Koltai is a Hungarian cinematographer and film director renowned for his visually expressive work on both European and Hollywood films.
-
C.
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.
-
D.
Miklós
Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
-
E.
Pál Kadosa
Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b325191a38819095cdccca8f013774 |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b3264fee388190a693ecf748074f04 |
completed | March 12, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326af5e1481908930410ce9be1339 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.