Triple
T14865012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest I. kerülete |
E349593
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Gergely Őrsi
Gergely Őrsi is a Hungarian politician serving as the mayor of Budapest’s 1st District.
|
E1127717
|
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: Gergely Őrsi | Statement: [Budapest I. kerülete, mayor, Gergely Őrsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gergely Őrsi Context triple: [Budapest I. kerülete, mayor, Gergely Őrsi]
-
A.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
B.
Istvan Pely
Istvan Pely is a video game artist and art director best known for his long-time work at Bethesda Game Studios on franchises like Fallout and The Elder Scrolls.
-
C.
Bruno Pésery
Bruno Pésery is a French film producer known for his work on notable art-house and auteur-driven films.
-
D.
Gábor Takács-Nagy
Gábor Takács-Nagy is a Hungarian violinist and conductor, best known as a founding member of the Takács Quartet and for his leadership of prominent European chamber orchestras.
-
E.
Toma Erdődy
Toma Erdődy was a Croatian nobleman and military leader best known for his role in defending Habsburg territories against the Ottoman Empire in the late 16th century.
- 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: Gergely Őrsi Triple: [Budapest I. kerülete, mayor, Gergely Őrsi]
Generated description
Gergely Őrsi is a Hungarian politician serving as the mayor of Budapest’s 1st District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gergely Őrsi Target entity description: Gergely Őrsi is a Hungarian politician serving as the mayor of Budapest’s 1st District.
-
A.
András Nagy
András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
-
B.
Istvan Pely
Istvan Pely is a video game artist and art director best known for his long-time work at Bethesda Game Studios on franchises like Fallout and The Elder Scrolls.
-
C.
Bruno Pésery
Bruno Pésery is a French film producer known for his work on notable art-house and auteur-driven films.
-
D.
Gábor Takács-Nagy
Gábor Takács-Nagy is a Hungarian violinist and conductor, best known as a founding member of the Takács Quartet and for his leadership of prominent European chamber orchestras.
-
E.
Toma Erdődy
Toma Erdődy was a Croatian nobleman and military leader best known for his role in defending Habsburg territories against the Ottoman Empire in the late 16th century.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aad76c8190b024651483d8f9ff |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe7b078d0c8190ba80b6e96975fd6c |
completed | May 9, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7b26519c8190ba81d997e11a999f |
completed | May 9, 2026, 12:09 a.m. |
Created at: April 10, 2026, 1:55 a.m.