Triple
T21768812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blum–Shub–Smale model of computation |
E537367
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lenore Blum |
—
|
NE NERFINISHED |
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: Lenore Blum | Statement: [Blum–Shub–Smale model of computation, namedAfter, Lenore Blum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenore Blum Context triple: [Blum–Shub–Smale model of computation, namedAfter, Lenore Blum]
-
A.
Lenore Blum
chosen
Lenore Blum is an American mathematician and computer scientist known for her work in complexity theory, real computation, and advocacy for women in STEM.
-
B.
Genovefa Brenner
Genovefa Brenner was the mother of the renowned German Romantic composer Carl Maria von Weber.
-
C.
Joanna Cazden
Joanna Cazden is an American speech-language pathologist, voice therapist, and author known for her work with professional voice users and performers.
-
D.
Geraldine Freund
Geraldine Freund is known primarily as the daughter of influential cinematographer and director Karl Freund.
-
E.
Constance M. Burge
Constance M. Burge is an American television writer and producer best known for developing and producing popular drama series in the late 1990s and early 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ac10808190837a0f69c4f8a02d |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.