Triple
T6362799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denial |
E143150
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Deborah Lipstadt |
E44171
|
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: Deborah Lipstadt | Statement: [Denial, basedOnAuthor, Deborah Lipstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Lipstadt Context triple: [Denial, basedOnAuthor, Deborah Lipstadt]
-
A.
Deborah E. Lipstadt
chosen
Deborah E. Lipstadt is an American historian and scholar renowned for her work on Holocaust studies and the fight against Holocaust denial.
-
B.
Judith Nathan
Judith Nathan is an American former nurse and political figure best known as the third wife of former New York City mayor Rudy Giuliani.
-
C.
Norman Finkelstein
Norman Finkelstein is an American political scientist, author, and commentator known for his controversial critiques of Israeli policy and the politics surrounding the Holocaust.
-
D.
Eva Moses Lwow
Eva Moses Lwow was the mother of Heinrich Marx and a member of the extended family of Karl Marx.
-
E.
Yehuda Bauer
Yehuda Bauer is an Israeli historian and leading Holocaust scholar renowned for his extensive research on genocide, antisemitism, and Holocaust education.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680c02b481908618317566e31a5c |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d73a6ac8190a02602c3506e4226 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.