Triple
T21875876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cis Corman |
E540143
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | School Ties |
—
|
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: School Ties | Statement: [Cis Corman, notableWork, School Ties]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School Ties Context triple: [Cis Corman, notableWork, School Ties]
-
A.
School Ties
chosen
School Ties is a 1992 American drama film about antisemitism and class prejudice at an elite 1950s prep school, starring Brendan Fraser and Matt Damon.
-
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.
Compagni di scuola
Compagni di scuola is an Italian comedy-drama film directed by and starring Christian De Sica that follows the bittersweet reunion of former high school classmates years after graduation.
-
D.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
-
E.
Schooled
"Schooled" is an American sitcom and spin-off of "The Goldbergs" that follows a group of teachers and staff at a 1990s suburban high school.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.