Triple
T8669859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundations of Probability |
E205767
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Alfréd Rényi |
E40505
|
NE FINISHED |
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: Alfréd Rényi | Statement: [Foundations of Probability, author, Alfréd Rényi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfréd Rényi Context triple: [Foundations of Probability, author, Alfréd Rényi]
-
A.
Alfréd Rényi
chosen
Alfréd Rényi was a Hungarian mathematician renowned for his influential work in probability theory, information theory, and number theory.
-
B.
Pál Turán
Pál Turán was a Hungarian mathematician renowned for his influential work in number theory and combinatorics, including the development of Turán's theorem in extremal graph theory.
-
C.
Béla Szőkefalvi-Nagy
Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
-
D.
Pál Kalmár
Pál Kalmár was a Hungarian singer best known for his early and influential recording of the melancholic song "Gloomy Sunday."
-
E.
Pólya György
Pólya György was a Hungarian mathematician renowned for his work in problem solving, combinatorics, and mathematical education, and for authoring the classic book "How to Solve It."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4917cb9881909a73b74e54250613 |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc91d31d48190bfd8a8254f6f518e |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:31 p.m.