Triple
T6911797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Rotblat |
E159951
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tola Gryn |
E159951
|
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: Tola Gryn | Statement: [Joseph Rotblat, spouse, Tola Gryn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tola Gryn Context triple: [Joseph Rotblat, spouse, Tola Gryn]
-
A.
Tola Gryn
chosen
Tola Gryn was the wife of physicist and Nobel Peace Prize laureate Joseph Rotblat, whose death during World War II profoundly influenced his later pacifist convictions.
-
B.
Iola Tornagi
Iola Tornagi was the wife of renowned Russian opera bass Feodor Chaliapin and a figure associated with his personal and artistic life.
-
C.
Daneyko
Daneyko is the surname of Ken Daneyko, a longtime New Jersey Devils defenseman and three-time Stanley Cup champion in the National Hockey League.
-
D.
Dora Baltea
Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
-
E.
Zoriana Skaletska
Zoriana Skaletska is a Ukrainian lawyer and public health expert who briefly served as Ukraine’s Minister of Health in the government of Oleksiy Honcharuk.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c2e79881909eeb061be0a72bdf |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7490c95548190a493d3fd23d1d7a5 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:25 p.m.