Triple
T19788324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Cut |
E475335
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Sadie |
—
|
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: Sadie | Statement: [Final Cut, featuresCharacter, Sadie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadie Context triple: [Final Cut, featuresCharacter, Sadie]
-
A.
Sadie
Sadie is a feminine given name commonly used as a diminutive form of Sara or Sarah.
-
B.
Sadie
"Sadie" is a song by Joanna Newsom from her debut album *The Milk-Eyed Mender*, noted for its intricate harp accompaniment and poetic, emotionally rich lyrics.
-
C.
Sadie Flood
Sadie Flood is the troubled, aspiring singer at the center of the British drama film "Georgia" (1995), whose self-destructive behavior contrasts sharply with her more successful sister.
-
D.
Sadie Burke
Sadie Burke is a sharp-tongued, politically savvy aide and confidante to populist governor Willie Stark in the film "All the King's Men."
-
E.
Sadie Marks
Sadie Marks, better known by her stage name Mary Livingstone, was an American radio comedian and actress famed for her long-running role alongside her husband Jack Benny on The Jack Benny Program.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389c9ac81909e61b3cbb9213e72 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.