Triple
T21446667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shermer High School |
E529094
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Brat Pack films |
—
|
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: Brat Pack films | Statement: [Shermer High School, associatedWith, Brat Pack films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brat Pack films Context triple: [Shermer High School, associatedWith, Brat Pack films]
-
A.
Brat Pack
chosen
The Brat Pack was a group of young Hollywood actors prominently featured in popular 1980s coming-of-age films such as "The Breakfast Club" and "St. Elmo's Fire."
-
B.
Beverly Hills Brats
Beverly Hills Brats is a 1989 American comedy film about a wealthy teenager who fakes his own kidnapping to get attention from his family.
-
C.
Buddies
Buddies is a 2012 Indian Malayalam-language comedy film known for its lighthearted storyline and ensemble cast.
-
D.
Rowdy
Rowdy is the fighting nickname of Ronda Rousey, the trailblazing mixed martial artist and former UFC champion.
-
E.
Rowdy
Rowdy is the aggressive, hard-charging NASCAR driving persona of American stock car racer Kyle Busch.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9cea7bc81909ee3e1cdeda1fe7e |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.