Triple
T8162209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan Fraser |
E190601
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | School Ties |
E646912
|
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: School Ties | Statement: [Brendan Fraser, notableWork, School Ties]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School Ties Context triple: [Brendan Fraser, 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.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
-
D.
Cooley High
Cooley High is a 1975 coming-of-age comedy-drama film set in 1960s Chicago that follows a group of Black high school friends navigating adolescence, friendship, and hardship.
-
E.
Family Ties
Family Ties is a popular 1980s American sitcom that follows the Keaton family as they navigate generational and political differences with humor and heart.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4556b45c819089eb15ad027b036a |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf35000c8190ba78f69b7b1290e8 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:38 p.m.