Triple
T15152887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | János Schulek |
E361993
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Schulek
Schulek is a Hungarian surname most notably associated with architect and restorer János Schulek.
|
E1139966
|
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: Schulek | Statement: [János Schulek, familyName, Schulek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schulek Context triple: [János Schulek, familyName, Schulek]
-
A.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
B.
Scuol
Scuol is a Swiss alpine village in the Lower Engadine region of the canton of Graubünden, known for its mineral springs, traditional Romansh culture, and mountain tourism.
-
C.
Skol
Skol is a global beer brand, originally developed in Europe, known for its light lager and widespread popularity in markets such as Brazil and parts of Europe.
-
D.
Askole
Askole is a remote high-altitude village in Pakistan’s Karakoram range that serves as a key gateway for trekking and mountaineering expeditions to major glaciers and peaks, including K2.
-
E.
Askola
Askola is a small rural municipality in southern Finland known for its agricultural landscape and proximity to the Helsinki metropolitan area.
- 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: Schulek Triple: [János Schulek, familyName, Schulek]
Generated description
Schulek is a Hungarian surname most notably associated with architect and restorer János Schulek.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schulek Target entity description: Schulek is a Hungarian surname most notably associated with architect and restorer János Schulek.
-
A.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
B.
Scuol
Scuol is a Swiss alpine village in the Lower Engadine region of the canton of Graubünden, known for its mineral springs, traditional Romansh culture, and mountain tourism.
-
C.
Skol
Skol is a global beer brand, originally developed in Europe, known for its light lager and widespread popularity in markets such as Brazil and parts of Europe.
-
D.
Askole
Askole is a remote high-altitude village in Pakistan’s Karakoram range that serves as a key gateway for trekking and mountaineering expeditions to major glaciers and peaks, including K2.
-
E.
Askola
Askola is a small rural municipality in southern Finland known for its agricultural landscape and proximity to the Helsinki metropolitan area.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00609040081908c849475a2fa6443 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff6344c819085a105c6bcf835bc |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec1d9d1488190ae1374ab4f467037 |
completed | May 9, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec26bb3cc819098e19c01c1e9c8da |
completed | May 9, 2026, 5:13 a.m. |
Created at: April 10, 2026, 3:07 a.m.