Triple
T10811246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian cinema |
E255103
|
entity |
| Predicate | notableDirector |
P4744
|
FINISHED |
| Object |
Péter Bacsó
Péter Bacsó was a prominent Hungarian film director and screenwriter best known internationally for his satirical film "The Witness," a classic of Eastern European cinema.
|
E888471
|
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: Péter Bacsó | Statement: [Hungarian cinema, notableDirector, Péter Bacsó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Péter Bacsó Context triple: [Hungarian cinema, notableDirector, Péter Bacsó]
-
A.
Péter Boross
Péter Boross is a Hungarian politician who briefly served as the country’s prime minister in the early 1990s following the death of József Antall.
-
B.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
C.
Károly Szita
Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
-
D.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
E.
Gábor Vajna
Gábor Vajna was a Hungarian fascist politician who served as Interior Minister in the pro-Nazi Arrow Cross regime during World War II.
- 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: Péter Bacsó Triple: [Hungarian cinema, notableDirector, Péter Bacsó]
Generated description
Péter Bacsó was a prominent Hungarian film director and screenwriter best known internationally for his satirical film "The Witness," a classic of Eastern European cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Péter Bacsó Target entity description: Péter Bacsó was a prominent Hungarian film director and screenwriter best known internationally for his satirical film "The Witness," a classic of Eastern European cinema.
-
A.
Péter Boross
Péter Boross is a Hungarian politician who briefly served as the country’s prime minister in the early 1990s following the death of József Antall.
-
B.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
C.
Károly Szita
Károly Szita is a Hungarian politician who has long served as the mayor of the city of Kaposvár.
-
D.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
E.
Gábor Vajna
Gábor Vajna was a Hungarian fascist politician who served as Interior Minister in the pro-Nazi Arrow Cross regime during World War II.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b7bfac8190b6ae34144376d6ad |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0ea2b6481909dfd94fe0c3c4499 |
completed | April 14, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69deb384fb588190ae5d11a60fec0f53 |
completed | April 14, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb4a2d4c48190a828262b1cc05b37 |
completed | April 14, 2026, 9:41 p.m. |
Created at: April 8, 2026, 9:18 p.m.