Triple
T22144207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonore Cohn |
E547243
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leonore Cohn |
—
|
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: Leonore Cohn | Statement: [Leonore Cohn, name, Leonore Cohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonore Cohn Context triple: [Leonore Cohn, name, Leonore Cohn]
-
A.
Leonore Cohn
chosen
Leonore Cohn, later known as Leonore Annenberg, was an American philanthropist and arts patron who served as Chief of Protocol of the United States under President Ronald Reagan.
-
B.
Lona Cohen
Lona Cohen was an American-born Soviet spy who, along with her husband Morris Cohen, played a key role in passing atomic and military secrets from the West to the USSR during the Cold War.
-
C.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
D.
Ruth Weinstein
Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
-
E.
Fannie Cohn
Fannie Cohn was a prominent labor organizer and leader in the American garment industry, known for her influential role in advancing workers’ rights through the International Ladies' Garment Workers' Union.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129c045448190b3d189cdb8c0d2fd |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:33 p.m.