Triple
T20109703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Bellow |
E490293
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alexandra Bellow |
—
|
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: Alexandra Bellow | Statement: [Alexandra Bellow, name, Alexandra Bellow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Bellow Context triple: [Alexandra Bellow, name, Alexandra Bellow]
-
A.
Alexandra Bellow
chosen
Alexandra Bellow is a Romanian-American mathematician known for her contributions to ergodic theory and for being married to Nobel Prize–winning novelist Saul Bellow.
-
B.
Elka Ostrovsky
Elka Ostrovsky is a sharp-tongued, eccentric elderly woman and main character on the sitcom "Hot in Cleveland," portrayed by Betty White.
-
C.
Ann Belford Ulanov
Ann Belford Ulanov is an American Jungian analyst, theologian, and author known for her influential work at the intersection of psychology and religion.
-
D.
Mila Pfefferberg
Mila Pfefferberg was a Holocaust survivor known for her and her husband Leopold Page’s role in preserving and sharing the story of Oskar Schindler and the Jews he saved.
-
E.
Anna Brodsky
Anna Brodsky is the daughter of Nobel Prize–winning Russian-American poet and essayist Joseph Brodsky.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666df1b148190a28ead2f7cce7aab |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.