Triple
T5494111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Brooks |
E123770
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Get Smart |
E137465
|
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: Get Smart | Statement: [Mel Brooks, notableWork, Get Smart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Smart Context triple: [Mel Brooks, notableWork, Get Smart]
-
A.
Get Smart
chosen
Get Smart is a 2008 action-comedy film adaptation of the classic TV series, starring Steve Carell as an inept secret agent alongside Anne Hathaway.
-
B.
Street Smart
Street Smart is a 1987 neo-noir crime thriller film directed by Jerry Schatzberg, best known for its gritty portrayal of journalism and an acclaimed performance by Morgan Freeman.
-
C.
Why I Am So Wise
"Why I Am So Wise" is a section of Friedrich Nietzsche’s autobiographical work *Ecce Homo* in which he reflects on the sources and significance of his own intellectual and personal strength.
-
D.
Three Smart Girls
Three Smart Girls is a 1936 American musical comedy film that helped launch Deanna Durbin to stardom and played a key role in revitalizing Universal Pictures’ fortunes.
-
E.
Read All About It!
"Read All About It!" is a children's book co-authored by former U.S. First Lady Laura Bush that celebrates the joy of reading and the power of books to inspire imagination and learning.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9294ea9c8190b394a8528c385ee9 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c95ba008190ad61e1d31ae38d98 |
completed | March 22, 2026, 4:14 a.m. |
Created at: March 20, 2026, 2:10 p.m.