Triple
T10339025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Kellerman |
E243080
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Back to School |
E343748
|
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: Back to School | Statement: [Sally Kellerman, actedIn, Back to School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Back to School Context triple: [Sally Kellerman, actedIn, Back to School]
-
A.
Back to School
chosen
Back to School is a 1986 comedy film starring Rodney Dangerfield as a wealthy businessman who enrolls in college alongside his son, featuring Burt Young in a supporting role.
-
B.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
C.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
-
D.
Making the Grade
"Making the Grade" is a 1984 comedy film in which Andrew Dice Clay appears in an early supporting role, set around a streetwise hustler posing as a rich prep-school student.
-
E.
Waitin’ in School
"Waitin’ in School" is a rockabilly song popularized by Ricky Nelson in the late 1950s, known for its upbeat tempo and teenage-themed lyrics.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a470948190959f298dd6110bf3 |
completed | April 7, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506278f881908b090b13706e5d4e |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:54 a.m.