Triple
T17872306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoni Zygmund |
E446864
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zygmund |
—
|
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: Zygmund | Statement: [Antoni Zygmund, familyName, Zygmund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zygmund Context triple: [Antoni Zygmund, familyName, Zygmund]
-
A.
Antoni Zygmund
chosen
Antoni Zygmund was a Polish-American mathematician renowned for his foundational contributions to harmonic analysis and the theory of trigonometric series.
-
B.
Kazimierz Marcinkiewicz
Kazimierz Marcinkiewicz is a Polish conservative politician who briefly served as Prime Minister of Poland in the mid-2000s.
-
C.
Władysław Orlicz
Władysław Orlicz was a Polish mathematician best known for his fundamental contributions to functional analysis and the introduction of Orlicz spaces.
-
D.
Szegő
Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
-
E.
Stanisław Mazur
Stanisław Mazur was a Polish mathematician known for his influential work in functional analysis and his role as a prominent member of the Lwów School of Mathematics.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa3cd248190a13a8209ba44fd3b |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.