Triple
T15698488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances (1982 film) |
E380530
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jonathan Sanger |
—
|
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: Jonathan Sanger | Statement: [Frances (1982 film), producer, Jonathan Sanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Sanger Context triple: [Frances (1982 film), producer, Jonathan Sanger]
-
A.
Jonathan Sanger
chosen
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
B.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
C.
Grant Sanger
Grant Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
-
D.
Jonathan Hackett
Jonathan Hackett is an actor best known for his role in Lars von Trier’s acclaimed 1996 drama film "Breaking the Waves."
-
E.
Christopher Sower
Christopher Sower (Christoph Sauer) was an 18th-century German-American printer and publisher in Pennsylvania, known for producing one of the earliest German-language Bibles in America.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6c3328819081325b702ca92862 |
completed | April 16, 2026, 2:54 a.m. |
Created at: April 10, 2026, 4:44 a.m.