Triple
T7904875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stubby Kaye |
E183546
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stubby Kaye |
E183546
|
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: Stubby Kaye | Statement: [Stubby Kaye, name, Stubby Kaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stubby Kaye Context triple: [Stubby Kaye, name, Stubby Kaye]
-
A.
Stubby Kaye
chosen
Stubby Kaye was an American comic actor and singer best known for his scene-stealing roles in classic mid-20th-century stage and film musicals such as "Guys and Dolls" and "Li'l Abner."
-
B.
Pam Dawber
Pam Dawber is an American actress best known for starring opposite Robin Williams in the television sitcom "Mork & Mindy."
-
C.
Jean Shepard
Jean Shepard was an American country music singer and Grand Ole Opry star known for her honky-tonk hits and pioneering role for women in country music from the 1950s onward.
-
D.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
E.
Russi Taylor
Russi Taylor was an American voice actress best known for portraying iconic animated characters, most notably the voice of Minnie Mouse for several decades.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:03 p.m.