Triple
T20384665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Morning, Miss Bliss |
E497928
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object | Dennis Haskins |
—
|
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: Dennis Haskins | Statement: [Good Morning, Miss Bliss, characterPortrayedBy, Dennis Haskins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Haskins Context triple: [Good Morning, Miss Bliss, characterPortrayedBy, Dennis Haskins]
-
A.
Dennis Haskins
chosen
Dennis Haskins is an American actor best known for playing the bumbling yet well-meaning principal Mr. Belding in the Saved by the Bell television franchise.
-
B.
Bob Hines
Bob Hines was an American wildlife artist and illustrator renowned for his detailed depictions of nature in scientific and environmental publications.
-
C.
Dennis Scott
Dennis Scott is a former American professional basketball player best known as a prolific three-point shooter in the NBA, particularly with the Orlando Magic in the 1990s.
-
D.
Dan Harkins
Dan Harkins is a computer security researcher and cryptographer known for designing and contributing to widely used key exchange and authentication protocols.
-
E.
Steve Hulett
Steve Hulett is an American screenwriter best known for his work at Disney, including contributing to the animated film "The Great Mouse Detective."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.