Triple
T18425630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beethoven (1992 film) |
E442131
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Sarah Rose Karr |
—
|
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: Sarah Rose Karr | Statement: [Beethoven (1992 film), stars, Sarah Rose Karr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Rose Karr Context triple: [Beethoven (1992 film), stars, Sarah Rose Karr]
-
A.
Sarah Rose Karr
chosen
Sarah Rose Karr is an American former child actress best known for her role in the family film "Beethoven's 2nd" and appearances in early 1990s movies.
-
B.
Lauren Groff
Lauren Groff is an acclaimed contemporary American novelist and short story writer known for works such as "Fates and Furies," "Matrix," and "Florida."
-
C.
Sara Quin
Sara Quin is a Canadian musician best known as one half of the indie pop duo Tegan and Sara.
-
D.
Augusta Read Thomas
Augusta Read Thomas is an acclaimed American composer known for her vibrant, lyrical contemporary classical works and significant contributions to modern orchestral and chamber music.
-
E.
Lorrie Moore
Lorrie Moore is an acclaimed American fiction writer best known for her witty, emotionally incisive short stories and novels such as "Birds of America" and "Who Will Run the Frog Hospital?".
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51b12606081908ea320fd8d5554c6 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 10:47 a.m.