Triple
T21855838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus (novel) |
E539623
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Leon Uris |
—
|
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: Leon Uris | Statement: [Exodus (novel), author, Leon Uris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leon Uris Context triple: [Exodus (novel), author, Leon Uris]
-
A.
Leon Uris
chosen
Leon Uris was an American novelist best known for his popular historical epics such as "Exodus" and "Mila 18," which often focused on Jewish history and the human impact of war.
-
B.
Herman Wouk
Herman Wouk was an American novelist and screenwriter best known for his Pulitzer Prize–winning novel "The Caine Mutiny" and other popular works of mid-20th-century fiction.
-
C.
Alan Furst
Alan Furst is an American author renowned for his atmospheric historical espionage novels set in Europe on the eve of and during World War II.
-
D.
Sidney Kingsley
Sidney Kingsley was an American playwright renowned for his socially conscious, Pulitzer Prize–winning dramas such as "Men in White" and "Dead End."
-
E.
Herman Wouk Hellman
Herman Wouk Hellman is a person notable for bearing the surname Hellman, which is shared by various individuals recognized in fields such as literature, business, and the arts.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d635b59c81908810480f3802b847 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 16, 2026, 6:56 p.m.