Triple
T6056245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph A. Galamb |
E134916
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Galamb
Galamb is a Hungarian surname most notably associated with József (Joseph A.) Galamb, a key engineer in the development of the Ford Model T.
|
E564154
|
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: Galamb | Statement: [Joseph A. Galamb, familyName, Galamb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galamb Context triple: [Joseph A. Galamb, familyName, Galamb]
-
A.
Gárdony
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
B.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
C.
Zagyva
Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
-
D.
Vizafogó
Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
-
E.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
- 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: Galamb Triple: [Joseph A. Galamb, familyName, Galamb]
Generated description
Galamb is a Hungarian surname most notably associated with József (Joseph A.) Galamb, a key engineer in the development of the Ford Model T.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galamb Target entity description: Galamb is a Hungarian surname most notably associated with József (Joseph A.) Galamb, a key engineer in the development of the Ford Model T.
-
A.
Gárdony
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
B.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
C.
Zagyva
Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
-
D.
Vizafogó
Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
-
E.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570bf01c8190a8b2c25b7805d403 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113b06d188190839cfc48a2461d65 |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c114dcc99481909163f0f40f1a6358 |
completed | March 23, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115552c188190b500d96e86410180 |
completed | March 23, 2026, 10:26 a.m. |
Created at: March 22, 2026, 4:09 p.m.