Triple
T4966492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Budiansky |
E111538
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bernard Budiansky |
E111538
|
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: Bernard Budiansky | Statement: [Bernard Budiansky, name, Bernard Budiansky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Budiansky Context triple: [Bernard Budiansky, name, Bernard Budiansky]
-
A.
Bernard Budiansky
chosen
Bernard Budiansky was an influential American applied mechanician and Harvard professor known for his pioneering contributions to solid mechanics, structural stability, and material behavior.
-
B.
Nathan Furst
Nathan Furst is an American composer best known for scoring films and television series, particularly in the action and adventure genres.
-
C.
Charles Rackoff
Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
-
D.
Brian Hartnett
Brian Hartnett is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hartnett surname.
-
E.
Walter Miller
Walter Miller was an early 20th-century American film actor known for his work in silent cinema.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f7ae388190b752770bf577906f |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81f13988819097dcd5a65cb1f502 |
completed | March 21, 2026, 11:33 a.m. |
Created at: March 20, 2026, 1:32 p.m.