Triple
T23515410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Smart |
E574346
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Don Adams |
—
|
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: Don Adams | Statement: [Get Smart, starring, Don Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Adams Context triple: [Get Smart, starring, Don Adams]
-
A.
Don Adams
chosen
Don Adams was an American actor and comedian best known for his Emmy-winning role as the bumbling secret agent Maxwell Smart on the television series "Get Smart."
-
B.
Joe Roberts
Joe Roberts was an American silent film actor best known for his frequent collaborations with comedian Buster Keaton in the 1920s.
-
C.
Joe Roberts
Joe Roberts is a central character in the film "The Indian Runner," depicted as a morally upright small-town deputy sheriff whose strained relationship with his troubled brother drives the movie’s emotional conflict.
-
D.
Fred Bain
Fred Bain is a journalist best known for serving as editor of the publication *The Silver Trail*.
-
E.
Clifford Adams
Clifford Adams is a software developer best known for creating UseModWiki, an early and influential Perl-based wiki engine that helped shape the development of collaborative web platforms.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa81ab4c8190b85c8f80754020ea |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.