Triple
T18480157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gábor Szegő |
E451535
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Szegő |
—
|
NE NERFINISHED |
How this triple was built (2 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: Szegő | Statement: [Gábor Szegő, familyName, Szegő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Szegő Context triple: [Gábor Szegő, familyName, Szegő]
-
A.
Szegő
chosen
Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
-
B.
Gábor Szegő
Gábor Szegő was a Hungarian-American mathematician renowned for his contributions to analysis, particularly in the theory of orthogonal polynomials and Toeplitz matrices.
-
C.
Szekeres
Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number theory.
-
D.
Blaschke
Blaschke is a German surname most notably associated with Wilhelm Blaschke, a prominent mathematician known for his contributions to differential and convex geometry.
-
E.
Rózsa
Rózsa is the Hungarian given name of Rosika Schwimmer, a prominent early 20th-century feminist, pacifist, and suffragist activist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53066a7108190a50eda9b489c90ca |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:35 a.m.