Triple
T12026676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem Prize |
E286294
|
entity |
| Predicate | hasAwarded |
P2391
|
FINISHED |
| Object |
Tomasz Wolff
Tomasz Wolff is a mathematician known for his influential contributions to harmonic analysis and partial differential equations.
|
E1025701
|
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: Tomasz Wolff | Statement: [Salem Prize, hasAwarded, Tomasz Wolff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomasz Wolff Context triple: [Salem Prize, hasAwarded, Tomasz Wolff]
-
A.
Tomasz Blatt
Tomasz Blatt was a Polish-Jewish Holocaust survivor, writer, and lecturer best known for his role in and later accounts of the 1943 Sobibor extermination camp uprising.
-
B.
Tomasz Konior
Tomasz Konior is a Polish architect best known for designing prominent cultural and concert venues, including the acclaimed NOSPR concert hall in Katowice.
-
C.
Tomasz Nowak
Tomasz Nowak is a common Polish personal name shared by multiple individuals across fields such as sports, politics, and the arts.
-
D.
Tomasz Pająk
Tomasz Pająk is a person notable enough to be recognized as a prominent bearer of the Polish surname Pająk.
-
E.
Pawel Pogorzelski
Pawel Pogorzelski is a cinematographer known for his visually striking, atmospheric work on films such as Ari Aster’s horror feature "Midsommar."
- 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: Tomasz Wolff Triple: [Salem Prize, hasAwarded, Tomasz Wolff]
Generated description
Tomasz Wolff is a mathematician known for his influential contributions to harmonic analysis and partial differential equations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomasz Wolff Target entity description: Tomasz Wolff is a mathematician known for his influential contributions to harmonic analysis and partial differential equations.
-
A.
Tomasz Blatt
Tomasz Blatt was a Polish-Jewish Holocaust survivor, writer, and lecturer best known for his role in and later accounts of the 1943 Sobibor extermination camp uprising.
-
B.
Tomasz Konior
Tomasz Konior is a Polish architect best known for designing prominent cultural and concert venues, including the acclaimed NOSPR concert hall in Katowice.
-
C.
Tomasz Nowak
Tomasz Nowak is a common Polish personal name shared by multiple individuals across fields such as sports, politics, and the arts.
-
D.
Tomasz Pająk
Tomasz Pająk is a person notable enough to be recognized as a prominent bearer of the Polish surname Pająk.
-
E.
Pawel Pogorzelski
Pawel Pogorzelski is a cinematographer known for his visually striking, atmospheric work on films such as Ari Aster’s horror feature "Midsommar."
- 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_69f6f5b3ced0819083382a0aceda171a |
completed | May 3, 2026, 7:13 a.m. |
| NEDg | Description generation | batch_69f6f6ba509c8190a99426ba4506d31f |
completed | May 3, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f81430f8819094a4a495fc680f25 |
completed | May 3, 2026, 7:24 a.m. |
Created at: April 8, 2026, 9:47 p.m.