Triple
T16223442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salvatore Luria |
E393786
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Luria |
E393787
|
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: Luria | Statement: [Salvatore Luria, familyName, Luria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luria Context triple: [Salvatore Luria, familyName, Luria]
-
A.
Luria
chosen
Luria is a surname most notably associated with Nobel Prize–winning microbiologist Salvador Luria and several other prominent figures in science and Jewish intellectual history.
-
B.
Vyshnegradsky
Vyshnegradsky is a Russian surname most notably associated with Ivan Vyshnegradsky, a prominent 19th-century Russian statesman and Minister of Finance.
-
C.
Firsov
Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
-
D.
Lwoff
Lwoff is the surname of André Lwoff, a Nobel Prize–winning French microbiologist and virologist known for his work on the genetic regulation of viruses.
-
E.
Mechnikov
Mechnikov is the surname of Ilya Ilyich Mechnikov, a pioneering Russian zoologist and immunologist best known for his discovery of phagocytosis and contributions to understanding the immune system.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d23e63881908806920d878f2adb |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079a5c1481909485e1b4a41f5d2c |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.