Triple
T12026674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem Prize |
E286294
|
entity |
| Predicate | hasAwarded |
P2391
|
FINISHED |
| Object |
Frédéric Nazarov
Frédéric Nazarov is a mathematician known for his influential work in harmonic analysis and related areas of analysis.
|
E961370
|
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: Frédéric Nazarov | Statement: [Salem Prize, hasAwarded, Frédéric Nazarov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frédéric Nazarov Context triple: [Salem Prize, hasAwarded, Frédéric Nazarov]
-
A.
Nikolai Morozov
Nikolai Morozov is a prominent Russian ice dancing coach and choreographer known for creating programs for many elite figure skaters.
-
B.
Nikolai Morozov
Nikolai Morozov was a Russian revolutionary associated with the Narodnaya Volya movement who later became a notable scientist and writer.
-
C.
Nikolai Fraiture
Nikolai Fraiture is an American musician best known as the bassist for the rock band The Strokes.
-
D.
Mikhail Reutern
Mikhail Reutern was a prominent 19th-century Russian statesman and reformist finance minister who played a key role in modernizing the financial system of the Russian Empire.
-
E.
Aleksandr Shvorin
Aleksandr Shvorin is a Soviet actor best known for his role in the acclaimed 1957 war drama film "The Cranes Are Flying."
- 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: Frédéric Nazarov Triple: [Salem Prize, hasAwarded, Frédéric Nazarov]
Generated description
Frédéric Nazarov is a mathematician known for his influential work in harmonic analysis and related areas of analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frédéric Nazarov Target entity description: Frédéric Nazarov is a mathematician known for his influential work in harmonic analysis and related areas of analysis.
-
A.
Nikolai Morozov
Nikolai Morozov is a prominent Russian ice dancing coach and choreographer known for creating programs for many elite figure skaters.
-
B.
Nikolai Morozov
Nikolai Morozov was a Russian revolutionary associated with the Narodnaya Volya movement who later became a notable scientist and writer.
-
C.
Nikolai Fraiture
Nikolai Fraiture is an American musician best known as the bassist for the rock band The Strokes.
-
D.
Mikhail Reutern
Mikhail Reutern was a prominent 19th-century Russian statesman and reformist finance minister who played a key role in modernizing the financial system of the Russian Empire.
-
E.
Aleksandr Shvorin
Aleksandr Shvorin is a Soviet actor best known for his role in the acclaimed 1957 war drama film "The Cranes Are Flying."
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f02638819091e0cc0e93fa5ea7 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d4f4c80819082ffc0c5aa3505a0 |
completed | May 1, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69f53d8ec5448190b303624887f7fa05 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.