Triple
T10373384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitler’s Niece |
E244438
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Ron Hansen |
E244438
|
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: Ron Hansen | Statement: [Hitler’s Niece, author, Ron Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Hansen Context triple: [Hitler’s Niece, author, Ron Hansen]
-
A.
Ron Hansen
chosen
Ron Hansen is an American novelist and essayist best known for his historical fiction, including the novel that inspired the film "The Assassination of Jesse James by the Coward Robert Ford."
-
B.
David Madsen
David Madsen is a screenwriter best known for his work on the psychological thriller film "Copycat."
-
C.
Ron Jensen
Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
-
D.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
-
E.
Robert Stromberg
Robert Stromberg is an American production designer and visual effects artist who made his feature directorial debut with the fantasy film "Maleficent."
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94af4ee6881909a36ee1a06a9d3e2 |
completed | April 10, 2026, 7:09 p.m. |
Created at: April 6, 2026, 12:02 p.m.