Triple
T16907591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CWEB |
E424601
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Silvio Levy |
E424601
|
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: Silvio Levy | Statement: [CWEB, developer, Silvio Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvio Levy Context triple: [CWEB, developer, Silvio Levy]
-
A.
Silvio Levy
chosen
Silvio Levy is a mathematician and computer scientist known for co-developing CWEB, a literate programming system created in collaboration with Donald Knuth.
-
B.
Gian-Carlo Salvetti
Gian-Carlo Salvetti is a physicist recognized for his significant contributions to nuclear science, honored as a laureate of the prestigious Lise Meitner Prize.
-
C.
Andreas Speiser
Andreas Speiser was a Swiss mathematician known for his work in group theory, algebra, and the history and philosophy of mathematics.
-
D.
Carlo Rota
Carlo Rota is a Canadian actor known for his character roles in film and television, including appearances in series like "24" and "Little Mosque on the Prairie."
-
E.
Beppo Levi
Beppo Levi was an Italian mathematician known for his foundational contributions to measure theory and integration, particularly in the development of modern Lebesgue integration.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b98d5c8190b61de47b246549e3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.